private IRasterDataProvider CreateOutRaster(RasterMaper rm)
{
RasterIdentify ri = new RasterIdentify(rm.Raster.fileName);
ri.ProductIdentify = _subProductDef.ProductDef.Identify;
ri.SubProductIdentify = _subProductDef.Identify;
string outFileName = ri.ToWksFullFileName(".dat");
IRasterDataDriver raster = RasterDataDriver.GetDriverByName("MEM") as IRasterDataDriver;
CoordEnvelope outEnv = rm.Raster.CoordEnvelope;
string mapInfo = outEnv.ToMapInfoString(new Size(rm.Raster.Width, rm.Raster.Height));
RasterDataProvider outRaster = raster.Create(outFileName, rm.Raster.Width, rm.Raster.Height, 1, enumDataType.Int16, mapInfo) as RasterDataProvider;
return(outRaster);
}
private IExtractResult ModisAlgorithm()
{
int middleInfraredNo, farInfrared1No, farInfrared2No;
IBandNameRaster bandNameRaster = _argumentProvider.DataProvider as IBandNameRaster;
middleInfraredNo = TryGetBandNo(bandNameRaster, "MiddleInfrared");
farInfrared1No = TryGetBandNo(bandNameRaster, "FarInfrared1");
farInfrared2No = TryGetBandNo(bandNameRaster, "FarInfrared2");
if (middleInfraredNo == -1 || farInfrared1No == -1 || farInfrared2No == -1)
{
PrintInfo("获取波段序号失败,可能是波段映射表配置错误或判识算法波段参数配置错误。");
return(null);
}
int[] bandNos = new int[] { middleInfraredNo, farInfrared1No, farInfrared2No };
if (_argumentProvider.GetArg("BinaryFile") == null)
{
PrintInfo("获取判识结果文件失败。");
return(null);
}
string dblvFile = _argumentProvider.GetArg("BinaryFile").ToString();
if (string.IsNullOrEmpty(dblvFile) || !File.Exists(dblvFile))
{
PrintInfo("获取判识结果文件失败。");
return(null);
}
float mbtd = (float)_argumentProvider.GetArg("mbtd");
float mbt = (float)_argumentProvider.GetArg("mbt");
int ntype = Int32.Parse(_argumentProvider.GetArg("ntype").ToString());
//获取查找表参数
LookupTableArgument argument = new LookupTableArgument();
//进行光学厚度与沙尘粒子有效半径计算需要文件：1、原始影像数据；2、查算表数据
List <RasterMaper> inputRms = new List <RasterMaper>();
List <RasterMaper> outputRms = new List <RasterMaper>();
try
{
//当前影像（待判识文件）
RasterMaper rm = new RasterMaper(_argumentProvider.DataProvider, bandNos);
inputRms.Add(rm);
IRasterDataProvider dblvPrd = GeoDataDriver.Open(dblvFile) as IRasterDataProvider;
RasterMaper dblvRm = new RasterMaper(dblvPrd, new int[] { 1 });
inputRms.Add(dblvRm);
RasterIdentify ri = new RasterIdentify(_argumentProvider.DataProvider.fileName);
ri.ProductIdentify = "DST";
ri.IsOutput2WorkspaceDir = true;
IRasterDataProvider reRaster = CreateOutRaster(ri, dblvPrd, "0DRE");
RasterMaper reRm = new RasterMaper(reRaster, new int[] { 1 });
outputRms.Add(reRm);
IRasterDataProvider optRaster = CreateOutRaster(ri, dblvPrd, "0OPT");
RasterMaper optRm = new RasterMaper(optRaster, new int[] { 1 });
outputRms.Add(optRm);
IRasterDataProvider denRaster = CreateOutRaster(ri, dblvPrd, "DDEN");
RasterMaper denRm = new RasterMaper(denRaster, new int[] { 1 });
outputRms.Add(denRm);
//栅格数据映射
RasterMaper[] fileIns = inputRms.ToArray();
RasterMaper[] fileOuts = outputRms.ToArray();
//创建处理模型
RasterProcessModel <short, float> rfr = new RasterProcessModel <short, float>();
rfr.SetRaster(fileIns, fileOuts);
#region
rfr.RegisterCalcModel(new RasterCalcHandler <short, float>((rvInVistor, rvOutVistor, aoi) =>
{
int nindex;
double ocdiff = 0, mindiff = 0, den = 0, gcon;
float den0, rpsize = 0, rpsize0, rpmin = 0.01f, rpmax = 100;
double sgma = 2.0, sgdust = 2.5e-12;
double dr = (Math.Log10(rpmax) - Math.Log10(rpmin)) / 100;
if (rvInVistor[0].RasterBandsData[0] != null)
{
int length = rvInVistor[0].RasterBandsData[0].Length;
for (int i = 0; i < length; i++)
{
if (rvInVistor[1].RasterBandsData[0][i] == 1)
{
float bt31 = rvInVistor[0].RasterBandsData[1][i] / 10f;
float btd3132 = (rvInVistor[0].RasterBandsData[1][i] - rvInVistor[0].RasterBandsData[2][i]) / 10f;
float btd2931 = (rvInVistor[0].RasterBandsData[0][i] - rvInVistor[0].RasterBandsData[1][i]) / 10f;
for (int m = 0; m < 50; m++)
{
for (int n = 0; n < 29; n++)
{
ocdiff = Math.Pow(btd3132 - argument.Cbtd3132[m, n], 2) + Math.Pow((btd2931 - argument.Cbtd2931[m, n]), 2) * mbtd
+ Math.Pow((bt31 - argument.Cbt31[m, n]), 2) * mbt;
if (ocdiff < mindiff || (m == 0 && n == 0))
{
mindiff = ocdiff;
rvOutVistor[0].RasterBandsData[0][i] = argument.Dref[n];
rvOutVistor[1].RasterBandsData[0][i] = argument.Dopt[m];
}
}
}
//计算rvOutVistor[2].RasterBandsData[0][i]载沙量
if (rvOutVistor[0].RasterBandsData[0][i] <= 1)
{
nindex = (int)(rvOutVistor[0].RasterBandsData[0][i] * 10);
}
else
{
nindex = (int)(rvOutVistor[0].RasterBandsData[0][i]) + 9;
}
den0 = rvOutVistor[1].RasterBandsData[0][i] / argument.Ext55[nindex - 1];
double ravg = Calravg(rvOutVistor[1].RasterBandsData[0][i], sgma);
double tcv = 0;
rpsize = rpmin;
for (int j = 0; j < 100; j++)
{
//源代码中未定义type为1,2所需变量初始值
den = DType(ntype, rpsize, 0, 0, 0, 0, 0, 0, 0, den0, ravg, sgma);
rpsize0 = rpsize;
rpsize = (float)Math.Pow(10, (Math.Log10(rpsize) + dr));
gcon = 4f / 3 * Math.PI * Math.Pow(rpsize0, 3) * den * (rpsize - rpsize0);
tcv += gcon;
}
float value = (float)((tcv * sgdust * 1.0e+9 * 10));
rvOutVistor[2].RasterBandsData[0][i] = value > 50f ? 50f : value;
}
}
}
}));
#endregion
rfr.Excute();
FileExtractResult reResult = new FileExtractResult("0DRE", reRaster.fileName, true);
reResult.SetDispaly(false);
FileExtractResult optResult = new FileExtractResult("0OPT", optRaster.fileName, true);
optResult.SetDispaly(false);
FileExtractResult denResult = new FileExtractResult("DDEN", denRaster.fileName, true);
ExtractResultArray resultArray = new ExtractResultArray(_subProductDef.Identify);
resultArray.Add(reResult);
resultArray.Add(optResult);
//生成载沙量
resultArray.Add(denResult);
return(resultArray);
}
finally
{
for (int i = 1; i < inputRms.Count; i++)
{
if (inputRms[i].Raster != null)
{
inputRms[i].Raster.Dispose();
}
}
foreach (RasterMaper rm in outputRms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
public static IExtractResult AVGProcessor(Action <int, string> progressTracker, IContextMessage contextMessage, bool add2Workspace,
string[] fileNames, int bandNo, string subProIdentify, UInt16[] cloudValues, UInt16[] waterValues, string outFileName)
{
List <RasterMaper> rms = new List <RasterMaper>();
try
{
for (int i = 0; i < fileNames.Length; i++)
{
IRasterDataProvider inRaster = RasterDataDriver.Open(fileNames[i]) as IRasterDataProvider;
if (inRaster.BandCount < bandNo)
{
PrintInfo(contextMessage, "请选择正确的数据进行平均值合成。");
return(null);
}
RasterMaper rm = new RasterMaper(inRaster, new int[] { bandNo });
rms.Add(rm);
}
//输出文件准备（作为输入栅格并集处理）
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <ushort, ushort> rfr = null;
rfr = new RasterProcessModel <ushort, ushort>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <ushort, ushort>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
ushort[] sumData = new ushort[dataLength];
ushort[] countData = new ushort[dataLength];
if (cloudValues != null && cloudValues.Length > 0)
{
foreach (RasterVirtualVistor <ushort> rv in rvInVistor)
{
if (rv.RasterBandsData == null)
{
continue;
}
ushort[] dt = rv.RasterBandsData[0];
if (dt != null)
{
for (int index = 0; index < dataLength; index++)
{
if (IsNanValue(dt[index], cloudValues) || IsNanValue(dt[index], waterValues))
{
sumData[index] = (sumData[index] == 0 && countData[index] == 0) ? dt[index] : sumData[index];
continue;
}
else
{
if (IsNanValue(sumData[index], cloudValues) ||
IsNanValue(dt[index], waterValues) && countData[index] == 0)
{
sumData[index] = 0;
}
if (dt[index] == 0)
{
continue;
}
sumData[index] += dt[index];
countData[index]++;
}
}
}
}
}
for (int index = 0; index < dataLength; index++)
{
if (countData[index] != 0)
{
rvOutVistor[0].RasterBandsData[0][index] = (ushort)(sumData[index] / countData[index]);
}
else
{
rvOutVistor[0].RasterBandsData[0][index] = sumData[index];
}
}
}));
//执行
rfr.Excute();
FileExtractResult res = new FileExtractResult(subProIdentify, outFileName, add2Workspace);
res.SetDispaly(false);
return(res);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
}
private void ComputeFracFile(string sumFile, string file)
{
//"china_bares.dat"
//"china_grass.dat";
//"china_forest.dat";
//"china_farmhand.dat"
file = file.ToLower();
string argFile = null;
string argFileDir = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "SystemData\\ProductArgs\\SNW\\SnowArgFile");
if (file.Contains("bares"))
{
argFile = Path.Combine(argFileDir, "china_bares.dat");
}
else
{
if (file.Contains("grass"))
{
argFile = Path.Combine(argFileDir, "china_grass.dat");
}
else
{
if (file.Contains("forest"))
{
argFile = Path.Combine(argFileDir, "china_forest.dat");
}
else
{
if (file.Contains("farmhand"))
{
argFile = Path.Combine(argFileDir, "china_farmhand.dat");
}
else
{
return;
}
}
}
}
List <RasterMaper> rms = null;
IRasterDataProvider outRaster = null;
try
{
IRasterDataProvider argPrd = GeoDataDriver.Open(argFile) as IRasterDataProvider;
rms = new List <RasterMaper>();
RasterMaper rmArg = new RasterMaper(argPrd, new int[] { 1 });
rms.Add(rmArg);
IRasterDataProvider sumPrd = GeoDataDriver.Open(sumFile) as IRasterDataProvider;
RasterMaper rmSum = new RasterMaper(sumPrd, new int[] { 1 });
rms.Add(rmSum);
outRaster = CreateOutRaster(file, enumDataType.Int16, rms.ToArray(), argPrd.ResolutionX);
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
RasterProcessModel <double, Int16> rfr = new RasterProcessModel <double, Int16>();
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <double, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData != null && rvInVistor[1].RasterBandsData[0] != null)
{
int dataLength = rvInVistor[0].SizeY * rvInVistor[0].SizeX;
for (int j = 0; j < dataLength; j++)
{
if (rvInVistor[1].RasterBandsData[0][j] == 0)
{
rvOutVistor[0].RasterBandsData[0][j] = 0;
}
else
{
rvOutVistor[0].RasterBandsData[0][j] = (Int16)(rvInVistor[0].RasterBandsData[0][j] / rvInVistor[1].RasterBandsData[0][j] * 10000);
}
}
}
}));
rfr.Excute();
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
}
if (rms != null && rms.Count > 0)
{
foreach (RasterMaper rm in rms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
}
private IFileExtractResult ComputeSnowSWE(string filenameDensity, string depthFileName)
{
List <RasterMaper> rms = null;
IRasterDataProvider outRaster = null;
RasterProcessModel <double, double> rfr = null;
try
{
rms = new List <RasterMaper>();
IRasterDataProvider inRaster1 = GeoDataDriver.Open(depthFileName) as IRasterDataProvider;
RasterMaper fileIn1 = new RasterMaper(inRaster1, new int[] { 1 });
rms.Add(fileIn1);
IRasterDataProvider inRaster2 = GeoDataDriver.Open(filenameDensity) as IRasterDataProvider;
RasterMaper fileIn2 = new RasterMaper(inRaster2, new int[] { 1 });
rms.Add(fileIn2);
string sweFileName = GetFileName(new string[] { depthFileName }, _subProductDef.ProductDef.Identify, "MSWE", ".dat", null);
outRaster = CreateOutRaster(sweFileName, enumDataType.Double, rms.ToArray(), inRaster2.ResolutionX);
RasterMaper fileOut = new RasterMaper(outRaster, new int[] { 1 });
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { fileOut };
rfr = new RasterProcessModel <double, double>();
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <double, double>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData[0] != null && rvInVistor[1].RasterBandsData[0] != null)
{
int dataLength = rvInVistor[0].SizeY * rvInVistor[0].SizeX;
double[] swetmp = new double[dataLength];
for (int i = 0; i < dataLength; i++)
{
swetmp[i] = rvInVistor[0].RasterBandsData[0][i] * rvInVistor[1].RasterBandsData[0][i] * 10;
if (swetmp[i] < 0)
{
swetmp[i] = 0;
}
rvOutVistor[0].RasterBandsData[0][i] = swetmp[i];
}
}
}));
rfr.Excute();
IFileExtractResult res = new FileExtractResult(_subProductDef.Identify, sweFileName, true);
res.SetDispaly(false);
return(res);
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
}
if (rms != null && rms.Count > 0)
{
foreach (RasterMaper rm in rms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
}
private string GetArgSummaryFile(string fileNameBare, string filenameGrass, string filenameForest, string filenameFarmhand)
{
string outFileName = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "SystemData\\ProductArgs\\SNW\\SnowArgFile\\sum.dat");
if (File.Exists(outFileName))
{
return(outFileName);
}
List <RasterMaper> rms = null;
IRasterDataProvider outRaster = null;
RasterProcessModel <double, double> rfr = null;
try
{
IRasterDataProvider barePrd = GeoDataDriver.Open(fileNameBare) as IRasterDataProvider;
IRasterDataProvider grassPrd = GeoDataDriver.Open(filenameGrass) as IRasterDataProvider;
IRasterDataProvider forestPrd = GeoDataDriver.Open(filenameForest) as IRasterDataProvider;
IRasterDataProvider farmhandPrd = GeoDataDriver.Open(filenameFarmhand) as IRasterDataProvider;
rms = new List <RasterMaper>();
RasterMaper rmBare = new RasterMaper(barePrd, new int[] { 1 });
rms.Add(rmBare);
RasterMaper rmGrass = new RasterMaper(grassPrd, new int[] { 1 });
rms.Add(rmGrass);
RasterMaper rmForest = new RasterMaper(forestPrd, new int[] { 1 });
rms.Add(rmForest);
RasterMaper rmFarm = new RasterMaper(farmhandPrd, new int[] { 1 });
rms.Add(rmFarm);
outRaster = CreateOutRaster(outFileName, enumDataType.Double, rms.ToArray(), 0.1f);
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
rfr = new RasterProcessModel <double, double>();
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <double, double>((rvInVistor, rvOutVistor, aoi) =>
{
for (int i = 0; i < rvInVistor.Length; i++)
{
if (rvInVistor[i].RasterBandsData != null)
{
int dataLength = rvInVistor[0].SizeY * rvInVistor[0].SizeX;
for (int j = 0; j < dataLength; j++)
{
rvOutVistor[0].RasterBandsData[0][j] += rvInVistor[i].RasterBandsData[0][j];
}
}
}
}));
rfr.Excute();
return(outFileName);
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
}
if (rms != null && rms.Count > 0)
{
foreach (RasterMaper rm in rms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
}
private IExtractResult IceThinknessAlgorithm(Action <int, string> progressTracker)
{
IRasterDataProvider dataPrd = _argumentProvider.DataProvider;
if (dataPrd == null)
{
return(null);
}
if (_argumentProvider.GetArg("DBLVFile") == null)
{
return(null);
}
string dblvFile = _argumentProvider.GetArg("DBLVFile").ToString();
if (string.IsNullOrEmpty(dblvFile) || !File.Exists(dblvFile))
{
return(null);
}
IRasterDataProvider dblvRaster = GeoDataDriver.Open(dblvFile) as IRasterDataProvider;
float t1 = Obj2Float(_argumentProvider.GetArg("T1"));
float t2 = Obj2Float(_argumentProvider.GetArg("T2"));
float t3 = Obj2Float(_argumentProvider.GetArg("T3"));
if (float.IsNaN(t1) || float.IsNaN(t2) || float.IsNaN(t3))
{
PrintInfo("获取计算参数失败。");
return(null);
}
IBandNameRaster bandNameRaster = _argumentProvider.DataProvider as IBandNameRaster;
int bandNo = TryGetBandNo(bandNameRaster, "FarInfrared");
if (bandNo == -1)
{
PrintInfo("获取波段序号失败,可能是波段映射表配置错误或判识算法波段参数配置错误。");
return(null);
}
string[] aois = _argumentProvider.GetArg("AOITemplate") as string[];
string aoiTemplate = (aois == null || aois.Length == 0) ? null : aois[0];
//输入文件准备
List <RasterMaper> rms = new List <RasterMaper>();
RasterMaper rm = new RasterMaper(dataPrd, new int[] { bandNo });
RasterMaper dblvRm = new RasterMaper(dblvRaster, new int[] { 1 });
rms.Add(rm);
rms.Add(dblvRm);
//创建结果数据
using (IRasterDataProvider outRaster = CreateOutRaster(rm))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <short, short> rfr = null;
rfr = new RasterProcessModel <short, short>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
rfr.SetTemplateAOI("vector:海陆模版_反");
rfr.RegisterCalcModel(new RasterCalcHandler <short, short>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData[0] != null)
{
if (aoi != null && aoi.Length != 0)
{
int index;
for (int i = 0; i < aoi.Length; i++)
{
index = aoi[i];
if (rvInVistor[1].RasterBandsData[0][index] == 1)
{
short value = rvInVistor[0].RasterBandsData[0][index];
if (value > t1)
{
rvOutVistor[0].RasterBandsData[0][index] = -1;
}
else
{
if (value > t2)
{
rvOutVistor[0].RasterBandsData[0][index] = 1;
}
else if (value > t3)
{
rvOutVistor[0].RasterBandsData[0][index] = 5;
}
else
{
rvOutVistor[0].RasterBandsData[0][index] = 10;
}
}
}
}
}
}
}));
//执行
rfr.Excute(Int16.MinValue);
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outRaster.fileName, true);
res.SetDispaly(false);
return(res);
}
}
public override IExtractResult Make(Action <int, string> progressTracker, IContextMessage contextMessage)
{
_contextMessage = contextMessage;
if (_argumentProvider == null)
{
return(null);
}
if (_argumentProvider.GetArg("AlgorithmName") == null)
{
PrintInfo("参数\"AlgorithmName\"为空。");
return(null);
}
string algorith = _argumentProvider.GetArg("AlgorithmName").ToString();
if (algorith != "0AVG")
{
PrintInfo("指定的算法\"" + algorith + "\"没有实现。");
return(null);
}
string[] fileNames = GetStringArray("SelectedPrimaryFiles");
if (fileNames == null || fileNames.Count() == 0)
{
PrintInfo("请选择参与平均值合成的数据。");
return(null);
}
foreach (string f in fileNames)
{
if (!File.Exists(f))
{
PrintInfo("所选择的数据:\"" + f + "\"不存在。");
return(null);
}
}
int bandNo = 1;
//输入文件准备
List <RasterMaper> rms = new List <RasterMaper>();
try
{
for (int i = 0; i < fileNames.Length; i++)
{
IRasterDataProvider inRaster = RasterDataDriver.Open(fileNames[i]) as IRasterDataProvider;
if (inRaster.BandCount < bandNo)
{
PrintInfo("请选择正确的数据进行平均值合成。");
return(null);
}
RasterMaper rm = new RasterMaper(inRaster, new int[] { bandNo });
rms.Add(rm);
}
//输出文件准备（作为输入栅格并集处理）
RasterIdentify ri = GetRasterIdentifyID(fileNames);
string outFileName = ri.ToWksFullFileName(".dat");
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = null;
rfr = new RasterProcessModel <Int16, Int16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
Int16[] nanValues = GetNanValues("CloudyValue");
Int16[] waterValues = GetNanValues("WaterValue");
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
Int16[] sumData = new Int16[dataLength];
Int16[] countData = new Int16[dataLength];
Int16[] invailValues = GetNanValues("InvailValue");
if (nanValues != null && nanValues.Length > 0)
{
foreach (RasterVirtualVistor <Int16> rv in rvInVistor)
{
if (rv.RasterBandsData == null)
{
continue;
}
Int16[] dt = rv.RasterBandsData[0];
if (dt != null)
{
for (int index = 0; index < dataLength; index++)
{
if (invailValues.Contains(dt[index]))
{
continue;
}
if (IsNanValue(dt[index], nanValues) || IsNanValue(dt[index], waterValues))
{
//临时修改 用于符合李亚军数据生产
if (IsNanValue(dt[index], nanValues))
{
countData[index] = 0;
}
else
{
sumData[index] = -1;
}
//
//sumData[index] = (sumData[index] == 0 && countData[index] == 0) ? dt[index] : sumData[index];
continue;
}
else
{
//临时修改 用于符合李亚军数据生产
if (sumData[index] == -1)
{
countData[index] = 0;
continue;
}
//
if (IsNanValue(sumData[index], nanValues) ||
IsNanValue(dt[index], waterValues) && countData[index] == 0)
{
sumData[index] = 0;
}
sumData[index] += dt[index];
countData[index]++;
}
}
}
}
}
for (int index = 0; index < dataLength; index++)
{
if (countData[index] != 0)
{
rvOutVistor[0].RasterBandsData[0][index] = (Int16)(sumData[index] / countData[index]);
}
else
{
rvOutVistor[0].RasterBandsData[0][index] = sumData[index];
}
}
}));
//执行
rfr.Excute();
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outFileName, true);
res.SetDispaly(false);
return(res);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
}
private IExtractResult LTLREAlgorithm(Action <int, string> progressTracker)
{
float tempratureMin = (float)_argumentProvider.GetArg("TempratureMin");
double lftrZoom = (double)_argumentProvider.GetArg("LTFRZoom");
bool isChaz = (bool)_argumentProvider.GetArg("isChaz");
Int16 maxLst = (Int16)((isChaz ? tempratureMin : (273 + tempratureMin)) * lftrZoom);
string[] fileNames = GetStringArray("SelectedPrimaryFiles");
if (fileNames == null || fileNames.Count() == 0)
{
PrintInfo("请选择参与低温天数统计的数据！");
return(null);
}
foreach (string f in fileNames)
{
if (!File.Exists(f))
{
PrintInfo("所选择的数据:\"" + f + "\"不存在。");
return(null);
}
}
int bandNo = 1;
//输出文件准备（作为输入栅格并集处理）
RasterIdentify ri = GetRasterIdentifyID(fileNames);
string outFileName = ri.ToWksFullFileName(".dat");
//输入文件准备
List <RasterMaper> rms = new List <RasterMaper>();
try
{
for (int i = 0; i < fileNames.Length; i++)
{
IRasterDataProvider inRaster = RasterDataDriver.Open(fileNames[i]) as IRasterDataProvider;
if (inRaster.BandCount < bandNo)
{
PrintInfo("请选择正确的数据进行低温天数统计。");
return(null);
}
RasterMaper rm = new RasterMaper(inRaster, new int[] { bandNo });
rms.Add(rm);
}
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = null;
rfr = new RasterProcessModel <Int16, Int16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
Int16[] nanValues = GetNanValues("CloudyValue");
Int16[] waterValues = GetNanValues("WaterValue");
Int16[] invailValues = GetNanValues("InvailValue");
Int16 currTimeValue = 0;
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
Int16[] timeValue = new Int16[dataLength];
for (int i = 0; i < dataLength; i++)
{
timeValue[i] = 0;
}
for (int index = 0; index < dataLength; index++)
{
foreach (RasterVirtualVistor <Int16> rvs in rvInVistor)
{
Int16[] dt = rvs.RasterBandsData[0];
if (dt == null)
{
continue;
}
if (invailValues.Contains(dt[index]))
{
continue;
}
if (TimeValue(dt[index], nanValues, waterValues, invailValues, timeValue[index], maxLst, out currTimeValue))
{
timeValue[index] = currTimeValue;
}
}
}
for (int index = 0; index < dataLength; index++)
{
rvOutVistor[0].RasterBandsData[0][index] = timeValue[index];
}
}));
//执行
rfr.Excute(0);
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outFileName, true);
res.SetDispaly(false);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
_argumentProvider.SetArg("SelectedPrimaryFiles", new string[] { outFileName });
string instanceIdentify = _argumentProvider.GetArg("OutFileIdentify") as string;
if (string.IsNullOrWhiteSpace(instanceIdentify))
{
return(null);
}
SubProductInstanceDef instance = FindSubProductInstanceDefs(instanceIdentify);
return(ThemeGraphyByInstance(instance));
}
//生成亮温背景库算法
//云水 怎么处理
private IExtractResult BackBGFileAlg(Action <int, string> progressTracker)
{
//亮温数据放大倍数
Int16 TBZoom = Convert.ToInt16(_argumentProvider.GetArg("LBZoom"));
int LBBandCH = (int)_argumentProvider.GetArg("LBBand");
//亮温数据生成的背景库放大倍数
Int16 TBBackZoom = Convert.ToInt16(_argumentProvider.GetArg("OutLBBackZoom"));
//亮温输入文件
string[] tbfiles = GetStringArray("LBFile");
//NDVI输出文件--根据输入文件信息输出
string outtbbackfile = GetFileName(tbfiles, _subProductDef.ProductDef.Identify, _identify, ".ldf", null); //默认位置输出
List <RasterMaper> rasterInputMaps = new List <RasterMaper>(); //从配置文件中读取需要待合成ldf数据，此处只有一个ldf文件
foreach (string itemfile in tbfiles)
{
IRasterDataProvider inraster = RasterDataDriver.Open(itemfile) as IRasterDataProvider;
rasterInputMaps.Add(new RasterMaper(inraster, new int[] { LBBandCH }));
}
IRasterDataProvider outLBbackRaster = null;
try
{
//栅格数据映射
RasterMaper[] fileIns = rasterInputMaps.ToArray();
RasterMaper[] fileOuts;
outLBbackRaster = CreateOutLDFRaster(outtbbackfile, rasterInputMaps.ToArray(), 5);
fileOuts = new RasterMaper[] { new RasterMaper(outLBbackRaster, new int[] { 1, 2, 3, 4, 5 }) };//输出为固定5个波段数据
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = new RasterProcessModel <Int16, Int16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;//输出长*宽
//初始化各波段原始数据
Int16 maxNDVI = Int16.MinValue;
Int16 minNDVI = Int16.MinValue;
Int16 secmaxNDVI = Int16.MinValue;
Int16 secminNDVI = Int16.MinValue;
double averageNDVI = Int16.MinValue;
for (int index = 0; index < dataLength; index++)
{
List <Int16> listtemp = new List <Int16>();
List <Int16> listavg = new List <short>();
for (int fileindex = 0; fileindex < rvInVistor.Length; fileindex++)
{
listtemp.Add(rvInVistor[fileindex].RasterBandsData[0][index]);
listavg.Add(rvInVistor[fileindex].RasterBandsData[0][index]);
}
//调整排序
listtemp.Sort(); //按照从小到大升序排列
listtemp = listtemp.Distinct().ToList(); //去重
if (listtemp.Count == 1 && listtemp[0] == 0)
{
maxNDVI = 0;
minNDVI = 0;
secmaxNDVI = 0;
secminNDVI = 0;
averageNDVI = 0;
}
else
{
////这里是否需要考虑有效范围
maxNDVI = listtemp[listtemp.Count - 1]; //最大值 此处文件个数大于1
minNDVI = listtemp[0]; //最小值 此处文件数大于1
secmaxNDVI = listtemp.Count > 1 ? listtemp[listtemp.Count - 2] : listtemp[listtemp.Count - 1]; //次大值
secminNDVI = listtemp.Count > 1 ? listtemp[1] : listtemp[0]; //次小值
//平均值
//去除 0
averageNDVI = listavg.Where(num => num != 0).Average(num => (int)(num));//平均值
}
//给输出Raster填值，此处为固定五个波段 并考虑放大倍数的处理
rvOutVistor[0].RasterBandsData[0][index] = (Int16)(maxNDVI * TBBackZoom / TBZoom);
rvOutVistor[0].RasterBandsData[1][index] = (Int16)(minNDVI * TBBackZoom / TBZoom);
rvOutVistor[0].RasterBandsData[2][index] = (Int16)(secmaxNDVI * TBBackZoom / TBZoom);
rvOutVistor[0].RasterBandsData[3][index] = (Int16)(secminNDVI * TBBackZoom / TBZoom);
rvOutVistor[0].RasterBandsData[4][index] = (Int16)(averageNDVI * TBBackZoom / TBZoom);
}
}));
rfr.Excute();
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outtbbackfile, true);
res.SetDispaly(false);
return(res);
}
catch (Exception ex)
{
PrintInfo("算法处理过程发生异常！\n" + ex.StackTrace);
return(null);
}
finally
{
if (outLBbackRaster != null)
{
outLBbackRaster.Dispose();
}
if (outLBbackRaster != null)
{
outLBbackRaster.Dispose();
}
}
}
public static bool DoElevationCorrections(TVDIUCArgs ucArgs, ref string error)
{
if (string.IsNullOrEmpty(ucArgs.LSTFile) || string.IsNullOrEmpty(ucArgs.DEMFile) || ucArgs.TVDIParas == null || ucArgs.TVDIParas.LstFile == null)
{
error = "陆表高温高程订正所需数据或参数设置不全.";
return(false);
}
string lstFile = ucArgs.LSTFile;
string demFile = ucArgs.DEMFile;
float lstZoom = ucArgs.TVDIParas.LstFile.Zoom;
int lstMin = ucArgs.TVDIParas.LstFile.Min;
int lstMax = ucArgs.TVDIParas.LstFile.Max;
int lstBand = ucArgs.TVDIParas.LstFile.Band;
IRasterDataProvider lstPrd = null;
IRasterDataProvider demPrd = null;
try
{
List <RasterMaper> rms = new List <RasterMaper>();
lstPrd = RasterDataDriver.Open(lstFile) as IRasterDataProvider;
if (lstPrd.BandCount < lstBand)
{
error = "选择的文件不正确，请重新选择。";
return(false);
}
RasterMaper lstRm = new RasterMaper(lstPrd, new int[] { lstBand });
rms.Add(lstRm);
demPrd = RasterDataDriver.Open(demFile) as IRasterDataProvider;
if (demPrd.BandCount < 1)
{
error = "选择的文件不正确，请重新选择。";
return(false);
}
RasterMaper demRm = new RasterMaper(demPrd, new int[] { 1 });
rms.Add(demRm);
//输出文件准备（作为输入栅格并集处理）
string outFileName = CreatOutFileName(lstFile, demFile);
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = new RasterProcessModel <Int16, Int16>();
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
int value0 = 0;
int value1 = 0;
if (rvInVistor[0].RasterBandsData == null || rvInVistor[1].RasterBandsData == null ||
rvInVistor[0].RasterBandsData[0] == null || rvInVistor[1].RasterBandsData[0] == null)
{
return;
}
for (int index = 0; index < dataLength; index++)
{
value0 = rvInVistor[0].RasterBandsData[0][index];
value1 = rvInVistor[1].RasterBandsData[0][index];
if (value1 == -9999)
{
rvOutVistor[0].RasterBandsData[0][index] = 9999;//海洋
continue;
}
if (value1 == -9000)
{
rvOutVistor[0].RasterBandsData[0][index] = 9000;//非中国区域陆地
continue;
}
if (value1 >= 6000)
{
rvOutVistor[0].RasterBandsData[0][index] = 0; //6000之内的LST数据
continue;
}
if (value0 == ucArgs.TVDIParas.LstFile.Cloudy)
{
rvOutVistor[0].RasterBandsData[0][index] = 9998; //云区
continue;
}
if (value0 == 12)
{
rvOutVistor[0].RasterBandsData[0][index] = 9997;//无数据区域
continue;
}
if (value0 == 0)
{
rvOutVistor[0].RasterBandsData[0][index] = 0;
continue;
}
if (value1 == 0)
{
rvOutVistor[0].RasterBandsData[0][index] = 0;
continue;
}
rvOutVistor[0].RasterBandsData[0][index] = (Int16)(((double)value0 / lstZoom - 273 + 0.006 * value1) * lstZoom);
}
}));
//执行
rfr.Excute();
//FileExtractResult res = new FileExtractResult("0LEC", outFileName, true);
//res.SetDispaly(false);
}
ucArgs.ECLstFile = outFileName;
return(true);
}
finally
{
if (lstPrd != null)
{
lstPrd.Dispose();
}
if (demPrd != null)
{
demPrd.Dispose();
}
}
}
private IExtractResult CalcVci(string algorithmName, Action <int, string> progressTracker)
{
if (_argumentProvider.GetArg("mainfiles") == null)
{
PrintInfo("请选择NDVI数据。");
return(null);
}
string ndviFile = _argumentProvider.GetArg("mainfiles").ToString();
if (!File.Exists(ndviFile))
{
PrintInfo("选择的数据\"" + ndviFile + "\"不存在。");
return(null);
}
if (_argumentProvider.GetArg("NdviCH") == null)
{
PrintInfo("参数\"NdviCH\"为空。");
return(null);
}
int ndviCH = (int)(_argumentProvider.GetArg("NdviCH"));
if (_argumentProvider.GetArg("NdviMaxCH") == null)
{
PrintInfo("参数\"NdviMaxCH\"为空。");
return(null);
}
int ndviMaxCH = (int)(_argumentProvider.GetArg("NdviMaxCH"));
if (_argumentProvider.GetArg("NdviMinCH") == null)
{
PrintInfo("参数\"NdviMinCH\"为空。");
return(null);
}
int ndviMinCH = (int)(_argumentProvider.GetArg("NdviMinCH"));
if (ndviCH < 1 || ndviMaxCH < 1 || ndviMinCH < 1)
{
PrintInfo("获取波段序号失败,可能是波段映射表配置错误或判识算法波段参数配置错误。");
return(null);
}
if (_argumentProvider.GetArg("resultZoom") == null)
{
PrintInfo("参数\"resultZoom\"为空。");
return(null);
}
UInt16 resultZoom = Convert.ToUInt16(_argumentProvider.GetArg("resultZoom"));
string backFile = null;
if (_argumentProvider.GetArg("BackFile") == null)
{
string defaultPath = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "SystemData\\ndvi_0901.ldf");
if (!File.Exists(defaultPath))
{
return(null);
}
backFile = defaultPath;
}
else
{
backFile = _argumentProvider.GetArg("BackFile").ToString();
}
if (backFile == ndviFile)
{
PrintInfo("请选择正确的背景库数据！");
return(null);
}
List <RasterMaper> rms = new List <RasterMaper>();
try
{
IRasterDataProvider ndviRaster = RasterDataDriver.Open(ndviFile) as IRasterDataProvider;
if (ndviRaster.BandCount < ndviCH)
{
PrintInfo("");
return(null);
}
RasterMaper rm = new RasterMaper(ndviRaster, new int[] { ndviCH });
rms.Add(rm);
IRasterDataProvider backRaster = RasterDataDriver.Open(backFile) as IRasterDataProvider;
if (backRaster.BandCount < ndviMinCH || backRaster.BandCount < ndviMaxCH)
{
PrintInfo("背景库通道设置错误，大于实际数据通道数");
return(null);
}
RasterMaper bm = new RasterMaper(backRaster, new int[] { ndviMaxCH, ndviMinCH });
rms.Add(bm);
//输出文件准备（作为输入栅格并集处理）
RasterIdentify ri = new RasterIdentify(ndviFile);
ri.ProductIdentify = _subProductDef.ProductDef.Identify;
ri.SubProductIdentify = _identify;
string outFileName = ri.ToWksFullFileName(".dat");
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <short, short> rfr = null;
rfr = new RasterProcessModel <short, short>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
//rfr.SetTemplateAOI(aoiTemplate);
rfr.RegisterCalcModel(
new RasterCalcHandler <short, short>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData[0] == null ||
rvInVistor[1].RasterBandsData[0] == null ||
rvInVistor[1].RasterBandsData[1] == null)
{
return;
}
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
for (int index = 0; index < dataLength; index++)
{
short backMax = rvInVistor[1].RasterBandsData[0][index];
short backMin = rvInVistor[1].RasterBandsData[1][index];
int divi = backMax - backMin;
if (divi == 0)
{
rvOutVistor[0].RasterBandsData[0][index] = 0;
}
else
{
rvOutVistor[0].RasterBandsData[0][index] = (short)((float)(rvInVistor[0].RasterBandsData[0][index] - rvInVistor[1].RasterBandsData[1][index]) / divi * resultZoom);
}
}
}));
//执行
rfr.Excute();
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outFileName, true);
res.SetDispaly(false);
return(res);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
}
/// <summary>
/// 计算雪水当量体积
/// </summary>
/// <param name="swefilename">输入文件名</param>
/// <param name="sweVolFile">输出文件名</param>
/// <returns></returns>
private IFileExtractResult ComputeSnowSWEVOL(string swefilename, string sweVolFile)
{
List <RasterMaper> rms = null;
IRasterDataProvider outRaster = null;
RasterProcessModel <float, float> rfr = null;
try
{
rms = new List <RasterMaper>();
IRasterDataProvider inRaster1 = GeoDataDriver.Open(swefilename) as IRasterDataProvider;
//计算文件中每个像元的面积
int width = inRaster1.Width;
float maxLat = (float)inRaster1.CoordEnvelope.MaxY;
float res = inRaster1.ResolutionX;
int row = inRaster1.Height;
RasterMaper fileIn1 = new RasterMaper(inRaster1, new int[] { 1 });
rms.Add(fileIn1);
outRaster = CreateOutRaster(sweVolFile, enumDataType.Float, rms.ToArray(), inRaster1.ResolutionX);
RasterMaper fileOut = new RasterMaper(outRaster, new int[] { 1 });
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { fileOut };
rfr = new RasterProcessModel <float, float>();
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <float, float>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData[0] != null)
{
int dataLength = rvInVistor[0].SizeY * rvInVistor[0].SizeX;
float[] swetmpVol = new float[dataLength];
for (int i = 0; i < dataLength; i++)
{
row = (int)(i / rvInVistor[0].SizeX) + 1;
float area = ComputePixelArea(row, maxLat, res);
//面积由平方公里转换为平方米，雪水当量mm转换为m
//swetmpVol[i] = rvInVistor[0].RasterBandsData[0][i] * area * 1000000.0f * 0.001f;
if (rvInVistor[0].RasterBandsData[0][i] != -999.0f)
{
if (rvInVistor[0].RasterBandsData[0][i] < 5.0f && rvInVistor[0].RasterBandsData[0][i] > 0.00001f)
{
rvInVistor[0].RasterBandsData[0][i] = 5.0f;
}
swetmpVol[i] = rvInVistor[0].RasterBandsData[0][i] * area * 1000.0f;
}
rvOutVistor[0].RasterBandsData[0][i] = swetmpVol[i];
}
}
}));
rfr.Excute();
IFileExtractResult res1 = new FileExtractResult(_subProductDef.Identify, sweVolFile, true);
res1.SetDispaly(false);
return(res1);
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
}
if (rms != null && rms.Count > 0)
{
foreach (RasterMaper rm in rms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
}
/// <summary>
/// 中值滤波
/// </summary>
/// <typeparam name="T">原始数据类型</typeparam>
/// <param name="filename">原始数据名称</param>
/// <param name="smoothwindow">平滑度：此处只能是5*5</param>
/// <param name="savepath">另存文件名称</param>
/// <returns></returns>
private string ComputerMid <T>(string filename, Int16 smoothwindow, string savepath)
{
List <RasterMaper> rms = null;
IRasterDataProvider inRaster1 = null;
IRasterDataProvider outRaster = null;
RasterProcessModel <T, T> rfr = null;
RasterMaper[] fileIns = null;
RasterMaper[] fileOuts = null;
RasterMaper fileOut = null;
string midFilterFileName = savepath;
if (File.Exists(midFilterFileName))
{
return(midFilterFileName);
}
try
{
rms = new List <RasterMaper>();
inRaster1 = GeoDataDriver.Open(filename) as IRasterDataProvider;
RasterMaper fileIn1 = new RasterMaper(inRaster1, new int[] { 1 });
rms.Add(fileIn1);
if (string.IsNullOrEmpty(midFilterFileName))
{
return(null);
}
else
{
outRaster = CreateOutRaster(midFilterFileName, inRaster1.DataType, rms.ToArray(), inRaster1.ResolutionX);
}
fileOut = new RasterMaper(outRaster, new int[] { 1 });
fileIns = rms.ToArray();
fileOuts = new RasterMaper[] { fileOut };
rfr = new RasterProcessModel <T, T>();
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <T, T>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData[0] != null)
{
int dataLength = rvInVistor[0].SizeY * rvInVistor[0].SizeX;
T[] temp = new T[smoothwindow * smoothwindow];
int col = rvInVistor[0].SizeX;
if (smoothwindow == 5)
{
for (int i = 0; i < dataLength; i++)
{
if (i < 2 * col || i % col == 0 || (i - 1) % col == 0 || (i + 1) % col == 0 || (i + 2) % col == 0 || i > dataLength - 2 * col)
{
if (rvInVistor[0].RasterBandsData[0][i].Equals(ConvertFloatToT <T>(0f)))
{
rvOutVistor[0].RasterBandsData[0][i] = ConvertFloatToT <T>(0f);
}
else
{
rvOutVistor[0].RasterBandsData[0][i] = rvInVistor[0].RasterBandsData[0][i];
}
}
else
{
if (rvInVistor[0].RasterBandsData[0][i].Equals(ConvertFloatToT <T>(0f)))
{
rvOutVistor[0].RasterBandsData[0][i] = ConvertFloatToT <T>(0f);
}
else
{
temp[0] = rvInVistor[0].RasterBandsData[0][i - 2 * col - 2];
temp[1] = rvInVistor[0].RasterBandsData[0][i - 2 * col - 1];
temp[2] = rvInVistor[0].RasterBandsData[0][i - 2 * col];
temp[3] = rvInVistor[0].RasterBandsData[0][i - 2 * col + 1];
temp[4] = rvInVistor[0].RasterBandsData[0][i - 2 * col + 2];
temp[5] = rvInVistor[0].RasterBandsData[0][i - col - 2];
temp[6] = rvInVistor[0].RasterBandsData[0][i - col - 1];
temp[7] = rvInVistor[0].RasterBandsData[0][i - col];
temp[8] = rvInVistor[0].RasterBandsData[0][i - col + 1];
temp[9] = rvInVistor[0].RasterBandsData[0][i - col + 2];
temp[10] = rvInVistor[0].RasterBandsData[0][i - 2];
temp[11] = rvInVistor[0].RasterBandsData[0][i - 1];
temp[12] = rvInVistor[0].RasterBandsData[0][i];
temp[13] = rvInVistor[0].RasterBandsData[0][i + 1];
temp[14] = rvInVistor[0].RasterBandsData[0][i + 2];
temp[15] = rvInVistor[0].RasterBandsData[0][i + col - 2];
temp[16] = rvInVistor[0].RasterBandsData[0][i + col - 1];
temp[17] = rvInVistor[0].RasterBandsData[0][i + col];
temp[18] = rvInVistor[0].RasterBandsData[0][i + col + 1];
temp[19] = rvInVistor[0].RasterBandsData[0][i + col + 2];
temp[20] = rvInVistor[0].RasterBandsData[0][i + 2 * col - 2];
temp[21] = rvInVistor[0].RasterBandsData[0][i + 2 * col - 1];
temp[22] = rvInVistor[0].RasterBandsData[0][i + 2 * col];
temp[23] = rvInVistor[0].RasterBandsData[0][i + 2 * col + 1];
temp[24] = rvInVistor[0].RasterBandsData[0][i + 2 * col + 2];
int count = 0;
for (int n = 0; n < 25; n++)
{
if (temp[n].Equals(ConvertFloatToT <T>(0f)))
{
count++;
}
}
Array.Sort(temp);
if (count >= 12)
{
rvOutVistor[0].RasterBandsData[0][i] = rvInVistor[0].RasterBandsData[0][i];
}
else
{
rvOutVistor[0].RasterBandsData[0][i] = temp[temp.Length / 2];
}
}
}
}
}
else
{
for (int i = 0; i < dataLength; i++)
{
if (i < col || i % col == 0 || (i + 1) % col == 0 || i > dataLength - col)
{
rvOutVistor[0].RasterBandsData[0][i] = rvInVistor[0].RasterBandsData[0][i];
}
else
{
if (rvInVistor[0].RasterBandsData[0][i].Equals(ConvertFloatToT <T>(0f)))
{
rvOutVistor[0].RasterBandsData[0][i] = ConvertFloatToT <T>(0f);
}
else
{
temp[0] = rvInVistor[0].RasterBandsData[0][i - col - 1];
temp[1] = rvInVistor[0].RasterBandsData[0][i - col];
temp[2] = rvInVistor[0].RasterBandsData[0][i - col + 1];
temp[3] = rvInVistor[0].RasterBandsData[0][i - 1];
temp[4] = rvInVistor[0].RasterBandsData[0][i];
temp[5] = rvInVistor[0].RasterBandsData[0][i + 1];
temp[6] = rvInVistor[0].RasterBandsData[0][i + col - 1];
temp[7] = rvInVistor[0].RasterBandsData[0][i + col];
temp[8] = rvInVistor[0].RasterBandsData[0][i + col + 1];
int count = 0;
for (int n = 0; n < 9; n++)
{
if (temp[n].Equals(ConvertFloatToT <T>(0f)))
{
count++;
}
}
Array.Sort(temp);
if (count >= 4)
{
rvOutVistor[0].RasterBandsData[0][i] = rvInVistor[0].RasterBandsData[0][i];
}
else
{
rvOutVistor[0].RasterBandsData[0][i] = temp[temp.Length / 2];
}
}
}
}
}
}
}));
rfr.Excute();
return(midFilterFileName);
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
fileOut = null;
fileOuts = null;
}
if (inRaster1 != null)
{
inRaster1.Dispose();
}
if (rms != null && rms.Count > 0)
{
foreach (RasterMaper rm in rms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
}
/// <summary>
/// 双线性插值方法提高原数据文件分辨率
/// f(i+u,j+v)=(1-u)(1-v)*f(i,j) + (1-v)u*f(i,j+1) + v(1-u)*f(i+1,j) + uv*f(i+1,j+1)
/// </summary>
/// <typeparam name="T">原始文件数据类型</typeparam>
/// <param name="srcFilename">原文件</param>
/// <param name="zoom">分辨率提高比例如0.1度到0.01度，zoom = 10</param>
/// <param name="savepathname">另存结果文件名称</param>
/// <returns></returns>
private string Bilinear <T>(string srcFilename, Int16 zoom, string savepathname)
{
List <RasterMaper> rms = new List <RasterMaper>();
IRasterDataProvider outRaster = null;
IRasterDataProvider inRaster1 = GeoDataDriver.Open(srcFilename) as IRasterDataProvider;
RasterMaper fileIn1 = new RasterMaper(inRaster1, new int[] { 1 });
rms.Add(fileIn1);
string fileBilname = savepathname;
outRaster = CreateOutRaster(fileBilname, inRaster1.DataType, rms.ToArray(), inRaster1.ResolutionX / zoom, zoom);
T[] inRasterBuffer = new T[inRaster1.Width * inRaster1.Height];
IRasterBand bandinRaster1 = inRaster1.GetRasterBand(1);
T[] sd = new T[inRaster1.Width * inRaster1.Height];
T[] sdSnow = new T[outRaster.Width * outRaster.Height];//输出数组
unsafe
{
GCHandle h = GCHandle.Alloc(inRasterBuffer, GCHandleType.Pinned);
IntPtr ptr = h.AddrOfPinnedObject();
bandinRaster1.Read(0, 0, inRaster1.Width, inRaster1.Height, ptr, inRaster1.DataType, inRaster1.Width, inRaster1.Height);
for (int j = 0; j < inRaster1.Width * inRaster1.Height; j++)
{
sd[j] = inRasterBuffer[j];
}
}
Int32[] index = new Int32[zoom * zoom];
try
{
for (int i = 0; i < inRaster1.Width * inRaster1.Height; i++)
{
if ((i + 1) % inRaster1.Width == 0 || i % inRaster1.Width == 0 || i >= inRaster1.Width * inRaster1.Height - inRaster1.Width || i < inRaster1.Width) //插值后的高分格子落在原低分格子的最后一列或第一列，或最后一行，最后一列
{
for (int row = 0; row < zoom; row++)
{
for (int col = 0; col < zoom; col++)
{
index[col + row * zoom] = (i / inRaster1.Width * zoom * outRaster.Width + i % inRaster1.Width * zoom) + (row * outRaster.Width) + col;
//sdSnow[index[col + row * zoom]] = 0.000001f;
//sdSnow[index[col + row * zoom]] = -999.0f;
sdSnow[index[col + row * zoom]] = sd[i];
}
}
}
else
{
for (int row = 0; row < zoom; row++)
{
for (int col = 0; col < zoom; col++)
{
index[col + row * zoom] = (i / inRaster1.Width * zoom * outRaster.Width + i % inRaster1.Width * zoom) + (row * outRaster.Width) + col;
//(2)通过u,v所处的象限
int xCenter = zoom / 2;
int yCenter = zoom / 2;
if (col < xCenter && row < yCenter) //第二象限 高分格子所在象元f(i,j) 其余三个象元分别是f(i,j-1),f(i-1,j),f(i-1,j-1)
{
float u = 0.5f + (float)(col * 1.0f / zoom); //列
float v = 0.5f + (float)(row * 1.0f / zoom); //行
float result = (1 - u) * (1 - v) * ConvertTtoFloat <T>(sd[i - inRaster1.Width - 1]) + (1 - v) * u * ConvertTtoFloat <T>(sd[i - inRaster1.Width]) + v * (1 - u) * ConvertTtoFloat <T>(sd[i - 1]) + u * v * ConvertTtoFloat <T>(sd[i]);
sdSnow[index[col + row * zoom]] = ConvertFloatToT <T>(result);
}
if (col >= xCenter && row < yCenter) //第一象限 高分格子所在象元f(i,j) 其余三个象元分别是f(i-1,j),f(i-1,j+1),f(i,j+1)
{
float u = (float)(col * 1.0f / zoom) - 0.5f; //列 横向
float v = (float)(row * 1.0f / zoom) + 0.5f; //行 纵
float result = (1 - u) * (1 - v) * ConvertTtoFloat <T>(sd[i - inRaster1.Width]) + (1 - v) * u * ConvertTtoFloat <T>(sd[i - inRaster1.Width + 1]) + v * (1 - u) * ConvertTtoFloat <T>(sd[i]) + u * v * ConvertTtoFloat <T>(sd[i + 1]);
sdSnow[index[col + row * zoom]] = ConvertFloatToT <T>(result);
}
if (col < xCenter && row >= yCenter) //第三象限 高分格子所在象元f(i,j) 其余三个象元分别是f(i,j-1),f(i+1,j-1),f(i+1,j)
{
float u = 0.5f + (float)(col * 1.0f / zoom); //列
float v = (float)(row * 1.0f / zoom) - 0.5f; //行
float result = (1 - u) * (1 - v) * ConvertTtoFloat <T>(sd[i - 1]) + (1 - v) * u * ConvertTtoFloat <T>(sd[i]) + v * (1 - u) * ConvertTtoFloat <T>(sd[i + inRaster1.Width - 1]) + v * u * ConvertTtoFloat <T>(sd[i + inRaster1.Width]);
sdSnow[index[col + row * zoom]] = ConvertFloatToT <T>(result);
}
if (col >= xCenter && row >= yCenter) //第四象限 高分格子所在象元f(i,j) 其余三个象元分别是f(i,j+1),f(i+1,j),f(i+1,j+1)
{
float u = (float)(col * 1.0f / zoom) - 0.5f; //列
float v = (float)(row * 1.0f / zoom) - 0.5f; //行
float result = (1 - u) * (1 - v) * ConvertTtoFloat <T>(sd[i]) + (1 - v) * u * ConvertTtoFloat <T>(sd[i + 1]) + v * (1 - u) * ConvertTtoFloat <T>(sd[i + inRaster1.Width]) + u * v * ConvertTtoFloat <T>(sd[i + inRaster1.Width + 1]);
sdSnow[index[col + row * zoom]] = ConvertFloatToT <T>(result);
}
}
}
}
}
}
catch (Exception ex)
{
//PrintInfo(ex.Message);
}
try
{
unsafe
{
GCHandle h = GCHandle.Alloc(sdSnow, GCHandleType.Pinned);
try
{
IntPtr sdSnowPtr = h.AddrOfPinnedObject();
IRasterBand bandoutRaster = outRaster.GetRasterBand(1);
bandoutRaster.Write(0, 0, outRaster.Width, outRaster.Height, sdSnowPtr, outRaster.DataType, outRaster.Width, outRaster.Height);
}
catch (Exception ex)
{
}
finally
{
h.Free();
}
}
//IFileExtractResult res = new FileExtractResult(_subProductDef.Identify, sdBilinearfilename, true);
return(fileBilname);
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
}
if (inRaster1 != null)
{
inRaster1.Dispose();
fileIn1.Raster.Dispose();
}
if (rms != null && rms.Count > 0)
{
foreach (RasterMaper rm in rms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
}
public static NdviList[] NDVIHistograms(TVDIUCArgs ucArgs)
{
string error = string.Empty;
if (!CheckHistograms(ucArgs, ref error))
{
return(null);
}
string ndviFile = ucArgs.NDVIFile;
int ndviZoom = ucArgs.TVDIParas.NdviFile.Zoom;
int ndviMin = ucArgs.TVDIParas.NdviFile.Min;
int ndviMax = ucArgs.TVDIParas.NdviFile.Max;
int ndviBand = ucArgs.TVDIParas.NdviFile.Band;
string lstFile = ucArgs.ECLstFile;
int lstZoom = ucArgs.TVDIParas.LstFile.Zoom;
int lstMin = ucArgs.TVDIParas.LstFile.Min;
int lstMax = ucArgs.TVDIParas.LstFile.Max;
IRasterDataProvider ndviPrd = null;
IRasterDataProvider lstPrd = null;
try
{
List <RasterMaper> rms = new List <RasterMaper>();
ndviPrd = RasterDataDriver.Open(ndviFile) as IRasterDataProvider;
if (ndviPrd.BandCount < ndviBand)
{
return(null);
}
RasterMaper ndviRm = new RasterMaper(ndviPrd, new int[] { ndviBand });
rms.Add(ndviRm);
lstPrd = RasterDataDriver.Open(lstFile) as IRasterDataProvider;
if (lstPrd.BandCount < 1)
{
return(null);
}
RasterMaper lstRm = new RasterMaper(lstPrd, new int[] { 1 });
rms.Add(lstRm);
string outFileName = CreatOutFile();
Int16 value0 = 0;
Int16 value1 = 0;
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
int start = -1000, end = 1000;
int statLength = end - start + 1;
NdviList[] results = new NdviList[statLength];
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
RasterProcessModel <Int16, Int16> rfr = new RasterProcessModel <Int16, Int16>();
rfr.SetRaster(fileIns, fileOuts);
TVDIParaClass tvdiP = ucArgs.TVDIParas;
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
if (rvInVistor[0].RasterBandsData == null || rvInVistor[1].RasterBandsData == null ||
rvInVistor[0].RasterBandsData[0] == null || rvInVistor[1].RasterBandsData[0] == null)
{
return;
}
for (int index = 0; index < dataLength; index++)
{
value0 = rvInVistor[0].RasterBandsData[0][index];
value1 = rvInVistor[1].RasterBandsData[0][index];
if (value0 < -1000 || value0 > 1000)
{
continue;
}
if (results[value0 - (-1000)] == null)
{
results[value0 - (-1000)] = new NdviList(value0);
}
results[value0 - (-1000)].Lst.Add(value1);
}
}));
rfr.Excute();
return(results);
}
}
finally
{
if (ndviPrd != null)
{
ndviPrd.Dispose();
}
if (lstPrd != null)
{
lstPrd.Dispose();
}
}
}
/// <summary>
/// 地理数据拼接:地理坐标，投影坐标
/// 拼接输出ldf
/// 支持按高度角数据拼接,高度角数据为后缀为".SolarZenith.ldf"的附加文件，值为扩大了100倍的short类型的高度角值。
/// 本拼接程序会判断是否有高度角数据：“.SolarZenith.ldf”，如果有，则拼接时候会依据高度角的大小关系执行是否覆盖操作，如果没有，则按照有无数据执行拼接。
/// </summary>
/// <param name="rasterFiles"></param>
/// <param name="outRasterFile"></param>
/// <param name="geoHeader"></param>
/// <param name="bandMaps"></param>
/// <param name="progress"></param>
public void Mosaic(string[] rasterFiles, string outRasterFile, GeoInfo geoHeader, string[] bandMaps, Action <int, string> progress)
{
int[] bandMap = null;
if (!GetBandMap(bandMaps, out bandMap))
{
if (progress != null)
{
progress(0, "输入参数错误，参数[要拼接的波段]不正确");
}
return;
}
if (bandMap == null || bandMap.Length == 0)
{
if (progress != null)
{
progress(0, "输入参数错误，[要拼接的波段]为空或不正确");
}
return;
}
int bandCount = bandMap.Length;
ISpatialReference spatialRef = TryFindSpatialRef(rasterFiles);
using (IRasterDataProvider outraster = CreateMosaicRaster(outRasterFile, geoHeader, bandCount, spatialRef))
{
string filename = null;
IRasterDataProvider raster = null;
string solarZenithFilename = null;
IRasterDataProvider solarZenithRaster = null;
RasterMaper outSolarZenithMap = null;// new RasterMaper(solarZenithRaster, new int[] { 1 });
string outSolarZenithFile = Path.ChangeExtension(outRasterFile, ".SolarZenith.ldf");
IRasterDataProvider outSolarZenithRster = null;
try
{
for (int f = 0; f < rasterFiles.Length; f++)
{
filename = rasterFiles[f];
solarZenithFilename = Path.ChangeExtension(filename, ".SolarZenith.ldf");
if (progress != null)
{
progress((int)((f + 1) * 100f / rasterFiles.Length), string.Format("{0}/{1}", f + 1, rasterFiles.Length));
}
try
{
raster = GeoDataDriver.Open(filename) as IRasterDataProvider;
if (raster == null)
{
continue;
}
//if (raster is ILdfDataProvider)
//{
// Ldf1Header header = (raster as ILdfDataProvider).Header as Ldf1Header;
// if (!header.IsDay)
// {
// Console.WriteLine("跳过晚上数据" + Path.GetFileName(filename));
// continue;
// }
//}
if (File.Exists(outSolarZenithFile))
{
outSolarZenithRster = GeoDataDriver.Open(outSolarZenithFile, enumDataProviderAccess.Update, null) as IRasterDataProvider;
outSolarZenithMap = new RasterMaper(outSolarZenithRster, new int[] { 1 });
}
RasterMaper rmSz = null;
if (File.Exists(solarZenithFilename))
{
solarZenithRaster = GeoDataDriver.Open(solarZenithFilename) as IRasterDataProvider;
rmSz = new RasterMaper(solarZenithRaster, new int[] { 1 });
}
RasterMaper rmin = new RasterMaper(raster, bandMap);
RasterMaper rmout = new RasterMaper(outraster, bandMap);
RasterProcessModel <short, short> rp = new RasterProcessModel <short, short>();
RasterMaper[] rmIns, rmOuts;
if (rmSz != null)
{
rmIns = new RasterMaper[] { rmin, rmSz }
}
;
else
{
rmIns = new RasterMaper[] { rmin }
};
if (outSolarZenithMap != null)
{
rmOuts = new RasterMaper[] { rmout, outSolarZenithMap }
}
;
else
{
rmOuts = new RasterMaper[] { rmout }
};
rp.SetRaster(rmIns, rmOuts);
rp.RegisterCalcModel(new RasterCalcHandlerFun <short, short>((rasterVistor, target, map) =>
{
if (rasterVistor[0] == null || rasterVistor[0].RasterBandsData.Length == 0)
{
return(false);
}
if (target[0] == null || target[0].RasterBandsData[0].Length == 0)
{
return(false);
}
if (rasterVistor[0].RasterBandsData[0] == null)
{
return(false);
}
//目标角度数据存在，源角度数据不存在，不做拼接
if (target.Length != 1 && rasterVistor.Length == 1)
{
return(false);
}
bool isUpdate = false;
//不使用天顶角数据,补数据
if (target.Length == 1 || rasterVistor.Length == 1)
{
for (int i = 0; i < target[0].RasterBandsData[0].Length; i++)
{
if (rasterVistor[0].RasterBandsData[0][i] == 0)//空值
{
continue;
}
if (target[0].RasterBandsData[0][i] == 0)
{
isUpdate = true;
for (int b = 0; b < bandCount; b++)
{
target[0].RasterBandsData[b][i] = rasterVistor[0].RasterBandsData[b][i];
}
}
}
}
else
{
for (int i = 0; i < target[0].RasterBandsData[0].Length; i++)
{
if (rasterVistor[0].RasterBandsData[0][i] == 0)//空值
{
continue;
}
/*
* 太阳高度表示昼夜状态
* 在晨昏线上的各地太阳高度为0 °，表示正经历昼夜更替；
* 在昼半球上的各地太阳高度大于0°，表示白昼；
* 在夜半球上的各地太阳高度小于0°，表示黑夜。
* 日出、日落时，太阳高度为0
* 即：
* 0°附近在日落或日出
* -90°和0°之间在晚上
* 上午太阳高度逐渐增大，最大时为太阳上中天，即是正午，午后太阳高度又逐渐缩小。
*/
//（高度角 = 90 - 天顶角）
//高度角有效范围：
//这里读取的是SolarZenith太阳天顶，有效范围0-180。
//天顶角0-90为白天，小值为接近中午
if (rasterVistor.Length == 1 || rasterVistor[1] == null || rasterVistor[1].RasterBandsData[0] == null ||
target.Length == 1 || target[1] == null)
{
if (target[0].RasterBandsData[0][i] == 0)//如果没有角度数据，则采取补数据的方式（即不覆盖已有数据）
{
isUpdate = true;
for (int b = 0; b < bandCount; b++)//拼接所有通道数据
{
target[0].RasterBandsData[b][i] = rasterVistor[0].RasterBandsData[b][i];
}
}
}
else if (rasterVistor[1].RasterBandsData[0][i] > 9000 || rasterVistor[1].RasterBandsData[0][i] < 0)//原高度角为夜晚或者不合理
{
continue;
}
else if (target[1].RasterBandsData[0][i] == 0)
{
isUpdate = true;
for (int b = 0; b < bandCount; b++)
{
target[0].RasterBandsData[b][i] = rasterVistor[0].RasterBandsData[b][i];
}
//更新目标高度角数据
target[1].RasterBandsData[0][i] = rasterVistor[1].RasterBandsData[0][i];
}
else if (rasterVistor[1].RasterBandsData[0][i] < target[1].RasterBandsData[0][i])//取高度角小的
{
isUpdate = true;
for (int b = 0; b < bandCount; b++)
{
target[0].RasterBandsData[b][i] = rasterVistor[0].RasterBandsData[b][i];
}
//更新目标高度角数据
target[1].RasterBandsData[0][i] = rasterVistor[1].RasterBandsData[0][i];
}
}
}
if (isUpdate)
{
return(true);
}
else
{
return(false);
}
}
));
int rowCount = rp.CalcRowCount();
rp.Excute(0, rowCount);
}
finally
{
if (raster != null)
{
raster.Dispose();
raster = null;
}
if (outSolarZenithRster != null)
{
outSolarZenithRster.Dispose();
outSolarZenithRster = null;
}
}
}
}
finally
{
if (outSolarZenithRster != null)
{
outSolarZenithRster.Dispose();
outSolarZenithRster = null;
}
}
}
}
/// <summary>
/// 读取时候，会按照srcs的第一个数据类型来读取数据
/// </summary>
/// <param name="srcs"></param>
/// <param name="dst"></param>
/// <returns></returns>
public bool Mosaic(IRasterDataProvider[] srcs, IRasterDataProvider dst)
{
//Stopwatch sw = new Stopwatch();
//sw.Start();
try
{
int bandCount = srcs[0].BandCount;
RasterMaper[] fileIns = new RasterMaper[srcs.Length];
int[] bandMap = null;
for (int i = 0; i < srcs.Length; i++)
{
bandMap = new int[bandCount];
for (int b = 0; b < bandCount; b++)
{
bandMap[b] = b + 1;
}
fileIns[i] = new RasterMaper(srcs[i], bandMap);
}
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(dst, bandMap) };
enumDataType datatype = srcs[0].DataType;
switch (datatype)
{
case enumDataType.Byte:
return(Mosaic <byte>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Double:
return(Mosaic <double>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Float:
return(Mosaic <float>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Int16:
return(Mosaic <Int16>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Int32:
return(Mosaic <Int32>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Int64:
return(Mosaic <Int64>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.UInt16:
return(Mosaic <UInt16>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.UInt32:
return(Mosaic <UInt32>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.UInt64:
return(Mosaic <UInt64>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Unknow:
break;
case enumDataType.Atypism:
break;
case enumDataType.Bits:
break;
default:
break;
}
return(true);
}
catch (Exception ex)
{
LogFactory.WriteLine(_sensor + "MosaicError", dst.fileName + "," + ex.Message);
return(false);
}
finally
{
//sw.Stop();
//LogFactory.WriteLine("拼接时间", sw.ElapsedMilliseconds + "秒");
}
}
/// <summary>
/// 将源拼接至目标
/// 目前默认实现为源和目标数据类型一致
/// </summary>
/// <param name="src"></param>
/// <param name="dst"></param>
/// <returns></returns>
public bool Mosaic(IRasterDataProvider src, IRasterDataProvider dst)
{
//Stopwatch sw = new Stopwatch();
//sw.Start();
try
{
RasterMaper[] fileIns = new RasterMaper[] { new RasterMaper(src, new int[] { 1 }) };
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(dst, new int[] { 1 }) };
enumDataType datatype = src.DataType;
switch (datatype)
{
case enumDataType.Byte:
return(Mosaic <byte>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Double:
return(Mosaic <double>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Float:
return(Mosaic <float>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Int16:
return(Mosaic <Int16>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Int32:
return(Mosaic <Int32>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Int64:
return(Mosaic <Int64>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.UInt16:
return(Mosaic <UInt16>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.UInt32:
return(Mosaic <UInt32>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.UInt64:
return(Mosaic <UInt64>(fileIns, fileOuts, (a, b) => { return a == b; }));
case enumDataType.Unknow:
break;
case enumDataType.Atypism:
break;
case enumDataType.Bits:
break;
default:
break;
}
return(true);
}
catch (Exception ex)
{
LogFactory.WriteLine(_sensor + "MosaicError", src + "," + ex.Message);
return(false);
}
finally
{
//sw.Stop();
//LogFactory.WriteLine("拼接时间", sw.ElapsedMilliseconds + "秒");
}
}
/// <summary>
/// 算法主要计算过程
/// </summary>
/// <param name="progressTracker"></param>
/// <returns>导出文件结果句柄</returns>
private IExtractResult TNDVIAlgorithm_VSWI(Action <int, string> progressTracker)
{
#region 参数
int NDVIBandCH = (int)_argumentProvider.GetArg("NDVIBand");
if (NDVIBandCH == -1 || _argumentProvider.GetArg("NDVIFile") == null)
{
PrintInfo("NDVI生产所用文件或通道未设置完全,请检查!");
return(null);
}
//NDVI文件
string[] ndviFileNames = GetStringArray("NDVIFile");
int TSBandCH = (int)_argumentProvider.GetArg("TSBand");
if (TSBandCH == -1 || _argumentProvider.GetArg("TSFile") == null)
{
PrintInfo("TS生产所用文件或通道未设置完全,请检查!");
return(null);
}
//地表温度文件
string[] tsFileNames = GetStringArray("TSFile");
if (ndviFileNames.Length <= 0 || tsFileNames.Length <= 0)
{
PrintInfo("未选择有效输入文件！");
return(null);
}
if (!File.Exists(ndviFileNames[0]))
{
PrintInfo("NDVI文件不存在！");
return(null);
}
if (!File.Exists(tsFileNames[0]))
{
PrintInfo("TS地表温度数据不存在！");
return(null);
}
//NDVI缩放倍数
double NDVIZoom = (double)_argumentProvider.GetArg("NDVIBand_Zoom");
//地表温度缩放倍数
double TSZoom = (double)_argumentProvider.GetArg("TSBand_Zoom");
//生成结果放大倍数
double BandZoom = (double)_argumentProvider.GetArg("BandZoom");
Int16[] CloudValues = GetNanValues("CloudyValue");
Int16 defCloudy = (Int16)_argumentProvider.GetArg("defCloudy");
Int16[] WaterValues = GetNanValues("WaterValue");
Int16 defWater = (Int16)_argumentProvider.GetArg("defCloudy");
Int16[] NullValues = GetNanValues("NullValue");
Int16 defNull = (Int16)_argumentProvider.GetArg("defNullValue");
#endregion
//输入文件准备
List <RasterMaper> rasterInputMaps = new List <RasterMaper>();
IRasterDataProvider ndviPrd = null;
IRasterDataProvider tsPrd = null;
try
{
ndviPrd = RasterDataDriver.Open(ndviFileNames[0]) as IRasterDataProvider;
if (ndviPrd.BandCount < NDVIBandCH)
{
PrintInfo("请选择正确的NDVI数据进行植被供水指数计算。");
return(null);
}
RasterMaper rmNdvi = new RasterMaper(ndviPrd, new int[] { NDVIBandCH });
rasterInputMaps.Add(rmNdvi);
tsPrd = RasterDataDriver.Open(tsFileNames[0]) as IRasterDataProvider;
if (tsPrd.BandCount < NDVIBandCH)
{
PrintInfo("请选择正确的Ts地表温度数据进行植被供水指数计算。");
return(null);
}
RasterMaper rmTs = new RasterMaper(tsPrd, new int[] { NDVIBandCH });
rasterInputMaps.Add(rmTs);
//输出文件准备（作为输入栅格并集处理）
string outFileName = GetFileName(tsFileNames, _subProductDef.ProductDef.Identify, _identify, ".dat", null);
IRasterDataProvider outRaster = null;
try
{
outRaster = CreateOutRaster(outFileName, rasterInputMaps.ToArray());
//栅格数据映射
RasterMaper[] fileIns = rasterInputMaps.ToArray();
RasterMaper[] fileOuts;
fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = new RasterProcessModel <Int16, Int16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData == null || rvInVistor[1].RasterBandsData == null ||
rvInVistor[0].RasterBandsData[0] == null || rvInVistor[1].RasterBandsData[0] == null)
{
return;
}
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
Int16[] ndviValues = rvInVistor[0].RasterBandsData[0];
Int16[] tValues = rvInVistor[1].RasterBandsData[0];
for (int index = 0; index < dataLength; index++)
{
Int16 refValue = 0;
//检验输入的云水值
if (GetAndCheckRefValue(ndviValues[index], CloudValues, defCloudy, WaterValues, defWater, NullValues, defNull, out refValue) ||
GetAndCheckRefValue(tValues[index], CloudValues, defCloudy, WaterValues, defWater, out refValue))
{
rvOutVistor[0].RasterBandsData[0][index] = refValue;
}
else if (ndviValues[index] == 0)
{
rvOutVistor[0].RasterBandsData[0][index] = defNull;
}
else
{
rvOutVistor[0].RasterBandsData[0][index] = (Int16)((float)(tValues[index] * NDVIZoom * BandZoom / ndviValues[index] / TSZoom));
}
}
}));
//执行
rfr.Excute();
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
}
}
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outFileName, true);
res.SetDispaly(false);
return(res);
}
finally
{
if (ndviPrd != null)
{
ndviPrd.Dispose();
}
}
}
private IExtractResult HFIIAlgorithmCompute(Action <int, string> progressTracker)
{
MemPixelFeatureMapper <UInt16> resultTemp = null;
int LstBandCH = (int)_argumentProvider.GetArg("LstBand");
double LstBandZoom = (double)_argumentProvider.GetArg("LstBand_Zoom");
double HFIIZoom = (double)_argumentProvider.GetArg("HFIIZoom");
UInt16 defCloudy = (UInt16)_argumentProvider.GetArg("defCloudy");
UInt16 defWater = (UInt16)_argumentProvider.GetArg("defWater");
UInt16 minCount = (UInt16)(_argumentProvider.GetArg("minCount"));
UInt16[] nanValues = GetNanValues("CloudyValue");
UInt16[] waterValues = GetNanValues("WaterValue");
float LSTMin = (float)((float.Parse(_argumentProvider.GetArg("VaildMin").ToString()) + 273) * LstBandZoom);
float LSTMax = (float)((float.Parse(_argumentProvider.GetArg("VaildMax").ToString()) + 273) * LstBandZoom);
string lstFile = GetStringArg("LSTFile");
if (string.IsNullOrEmpty(lstFile) || !File.Exists(lstFile))
{
PrintInfo("获取数据失败,没有设定地表高温数据或数据不存在。");
return(null);
}
Dictionary <UInt16, int> vaildLstList = new Dictionary <UInt16, int>();
IRasterDataProvider currPrd = GeoDataDriver.Open(lstFile) as IRasterDataProvider;
IRasterDataProvider cloudPrd = null;
ArgumentProvider ap = new ArgumentProvider(currPrd, null);
resultTemp = new MemPixelFeatureMapper <UInt16>("HFII", 1000, new Size(currPrd.Width, currPrd.Height), currPrd.CoordEnvelope, currPrd.SpatialRef);
RasterPixelsVisitor <UInt16> rpVisitor = null;
string cloudFile = GetStringArg("CloudFile");
if (progressTracker != null)
{
progressTracker.Invoke(5, "开始计算热效应强度指数,请稍候...");
}
try
{
if (!string.IsNullOrEmpty(cloudFile) && File.Exists(cloudFile))
{
if (progressTracker != null)
{
progressTracker.Invoke(15, "开始提取云信息,请稍候...");
}
cloudPrd = GeoDataDriver.Open(cloudFile) as IRasterDataProvider;
if (cloudPrd == null)
{
PrintInfo("请选择正确的云结果.");
return(null);
}
List <RasterMaper> rms = new List <RasterMaper>();
RasterMaper brm = new RasterMaper(cloudPrd, new int[] { 1 });
rms.Add(brm);
RasterMaper rm = new RasterMaper(currPrd, new int[] { 1 });
rms.Add(rm);
//输出文件准备（作为输入栅格并集处理）
string outFileName = MifEnvironment.GetFullFileName(".dat");
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <UInt16, UInt16> rfr = null;
rfr = new RasterProcessModel <UInt16, UInt16>();
rfr.SetRaster(fileIns, fileOuts);
int totalIndex = -1;
if (progressTracker != null)
{
progressTracker.Invoke(35, "开始处理云和地表温度信息,请稍候...");
}
rfr.RegisterCalcModel(new RasterCalcHandler <UInt16, UInt16>((rvInVistor, rvOutVistor, rfrAOI) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
if (rvInVistor[0].RasterBandsData[0] != null && rvInVistor[1].RasterBandsData[0] != null)
{
for (int index = 0; index < dataLength; index++)
{
totalIndex++;;
UInt16 cloudData = rvInVistor[0].RasterBandsData[0][index];
UInt16 valueData = rvInVistor[1].RasterBandsData[0][index];
if (cloudData != 0 || nanValues.Contains(valueData))
{
resultTemp.Put(totalIndex, defCloudy);
}
else if (waterValues.Contains(valueData))
{
resultTemp.Put(totalIndex, defWater);
}
else if (valueData == 0)
{
resultTemp.Put(totalIndex, 0);
}
else
{
if (vaildLstList.ContainsKey(valueData))
{
vaildLstList[valueData]++;
}
else
{
vaildLstList.Add(valueData, 1);
}
}
}
}
}));
//执行
rfr.Excute();
}
}
else
{
if (progressTracker != null)
{
progressTracker.Invoke(15, "开始提取地表温度信息,请稍候...");
}
rpVisitor = new RasterPixelsVisitor <UInt16>(ap);
rpVisitor.VisitPixel(new int[] { LstBandCH },
(index, values) =>
{
if (nanValues.Contains(values[0]))
{
resultTemp.Put(index, defCloudy);
}
else if (waterValues.Contains(values[0]))
{
resultTemp.Put(index, defWater);
}
else if (values[0] == 0)
{
resultTemp.Put(index, 0);
}
else
{
if (vaildLstList.ContainsKey(values[0]))
{
vaildLstList[values[0]]++;
}
else
{
vaildLstList.Add(values[0], 1);
}
}
});
}
UInt16 minValue = 0;
UInt16 maxValue = UInt16.MaxValue;
GetMinMaxValue(vaildLstList, LSTMin, LSTMax, minCount, out minValue, out maxValue);
if (maxValue == minValue)
{
return(null);
}
UInt16 result = 0;
if (rpVisitor == null)
{
rpVisitor = new RasterPixelsVisitor <UInt16>(ap);
}
if (progressTracker != null)
{
progressTracker.Invoke(65, "开始计算热效应强度信息,请稍候...");
}
int[] tempIndexes = resultTemp.Indexes.ToArray();
double resultHFII = 0f;
rpVisitor.VisitPixel(new int[] { LstBandCH },
(index, values) =>
{
if (!tempIndexes.Contains(index))
{
resultHFII = ((float)(values[0] - minValue)) / (maxValue - minValue) * HFIIZoom;
if (resultHFII <= 0)
{
result = (UInt16)1;
}
else
{
result = (UInt16)resultHFII;
}
resultTemp.Put(index, result);
}
});
if (progressTracker != null)
{
progressTracker.Invoke(85, "开始保存热效应强度信息,请稍候...");
}
return(GenrateIInterested(resultTemp, currPrd, "HFII"));
}
finally
{
if (currPrd != null)
{
currPrd.Dispose();
}
if (cloudPrd != null)
{
cloudPrd.Dispose();
}
}
}
private IExtractResult CalcAnmi(Action <int, string> progressTracker)
{
if (_argumentProvider.GetArg("NDVIFile") == null)
{
PrintInfo("请选择植被指数数据。");
return(null);
}
string ndvi = _argumentProvider.GetArg("NDVIFile").ToString();
if (!File.Exists(ndvi))
{
PrintInfo("所选择的数据:\"" + ndvi + "\"不存在。");
return(null);
}
if (_argumentProvider.GetArg("NdviCH") == null)
{
PrintInfo("参数\"NdviCH\"为空。");
return(null);
}
int ndviCh = (int)_argumentProvider.GetArg("NdviCH");
if (_argumentProvider.GetArg("NDVIAvgFile") == null)
{
PrintInfo("请选择植被指数年均值数据。");
return(null);
}
string avg = _argumentProvider.GetArg("NDVIAvgFile").ToString();
if (!File.Exists(avg))
{
PrintInfo("所选择的数据:\"" + avg + "\"不存在。");
return(null);
}
if (_argumentProvider.GetArg("NdviAvgCH") == null)
{
PrintInfo("参数\"NdviAvgCH\"为空。");
return(null);
}
int avgCH = (int)_argumentProvider.GetArg("NdviAvgCH");
if (ndviCh < 1 || avgCH < 1)
{
PrintInfo("获取波段序号失败,可能是波段映射表配置错误或判识算法波段参数配置错误。");
return(null);
}
Int16 defCloudy = (Int16)_argumentProvider.GetArg("defCloudy");
Int16 cloudyInvaildResult = Int16.MinValue;
//输入文件准备
List <RasterMaper> rms = new List <RasterMaper>();
try
{
IRasterDataProvider inRaster = RasterDataDriver.Open(ndvi) as IRasterDataProvider;
if (inRaster.BandCount < ndviCh)
{
PrintInfo("请选择正确的数据进行距平计算。");
return(null);
}
RasterMaper brm = new RasterMaper(inRaster, new int[] { ndviCh });
rms.Add(brm);
IRasterDataProvider iRaster = RasterDataDriver.Open(avg) as IRasterDataProvider;
if (iRaster.BandCount < avgCH)
{
PrintInfo("请选择正确的数据进行距平计算。");
return(null);
}
RasterMaper rm = new RasterMaper(iRaster, new int[] { avgCH });
rms.Add(rm);
string[] fileNames = new string[] { ndvi, avg };
//输出文件准备（作为输入栅格并集处理）
RasterIdentify ri = GetRasterIdentifyID(fileNames);
string outFileName = ri.ToWksFullFileName(".dat");
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <short, short> rfr = null;
rfr = new RasterProcessModel <short, short>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
short[] nanValues = GetNanValues("CloudyValue");
short[] waterValues = GetNanValues("WaterValue");
rfr.RegisterCalcModel(new RasterCalcHandler <short, short>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
if (rvInVistor[0].RasterBandsData == null || rvInVistor[1].RasterBandsData == null ||
rvInVistor[0].RasterBandsData[0] == null || rvInVistor[1].RasterBandsData[0] == null)
{
return;
}
for (int index = 0; index < dataLength; index++)
{
Int16 data1 = rvInVistor[0].RasterBandsData[0][index];
Int16 data2 = rvInVistor[1].RasterBandsData[0][index];
if (VaildRegionAndCloudyProcess.isNanValue(data1, nanValues) ||
VaildRegionAndCloudyProcess.isNanValue(data1, waterValues))
{
rvOutVistor[0].RasterBandsData[0][index] = data1;
continue;
}
if (VaildRegionAndCloudyProcess.isNanValue(data2, nanValues) ||
VaildRegionAndCloudyProcess.isNanValue(data2, waterValues))
{
rvOutVistor[0].RasterBandsData[0][index] = data2;
continue;
}
rvOutVistor[0].RasterBandsData[0][index] = (short)(data1 - data2);
}
}));
//执行
rfr.Excute(0);
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outFileName, true);
res.SetDispaly(false);
return(res);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
}
private IFileExtractResult ComputeDepthRaster(string currentRasterFile, string dblvFile, string roughnessFile, string angleFile, int visibleCH, int shortInfraredCH, string[] depthArgs)
{
float arg;
float a0 = 0, a1 = 0, a2 = 0, a3 = 0, b0 = 0, b1 = 0, b2 = 0, b3 = 0;
if (String2Float(depthArgs[1], out arg))
{
a0 = arg;
}
if (String2Float(depthArgs[2], out arg))
{
a1 = arg;
}
if (String2Float(depthArgs[3], out arg))
{
a2 = arg;
}
if (String2Float(depthArgs[4], out arg))
{
a3 = arg;
}
if (String2Float(depthArgs[5], out arg))
{
b0 = arg;
}
if (String2Float(depthArgs[6], out arg))
{
b1 = arg;
}
if (String2Float(depthArgs[7], out arg))
{
b2 = arg;
}
if (String2Float(depthArgs[8], out arg))
{
b3 = arg;
}
List <RasterMaper> rms = null;
IRasterDataProvider outRaster = null;
RasterProcessModel <Int16, float> rfr = null;
bool isCorrectAngle = false;
try
{
rms = new List <RasterMaper>();
IRasterDataProvider argRaster = GeoDataDriver.Open(roughnessFile) as IRasterDataProvider;
RasterMaper argRm = new RasterMaper(argRaster, new int[] { 1 });
rms.Add(argRm);
IRasterDataProvider inRaster = GeoDataDriver.Open(currentRasterFile) as IRasterDataProvider;
RasterMaper fileIn = new RasterMaper(inRaster, new int[] { visibleCH, shortInfraredCH });
rms.Add(fileIn);
IRasterDataProvider dblvRaster = GeoDataDriver.Open(dblvFile) as IRasterDataProvider;
RasterMaper dblvRm = new RasterMaper(dblvRaster, new int[] { 1 });
rms.Add(dblvRm);
if (!string.IsNullOrEmpty(angleFile))
{
IRasterDataProvider angleRaster = GeoDataDriver.Open(angleFile) as IRasterDataProvider;
RasterMaper angleRm = new RasterMaper(angleRaster, new int[] { 1 });
rms.Add(angleRm);
isCorrectAngle = true;
}
//string outFileId = _argumentProvider.GetArg("OutFileIdentify").ToString();
string depthFileName = GetFileName(new string[] { currentRasterFile }, _subProductDef.ProductDef.Identify, "0SSD", ".dat", null);
outRaster = CreateOutRaster(depthFileName, enumDataType.Float, rms.ToArray(), inRaster.ResolutionX);
RasterMaper fileOut = new RasterMaper(outRaster, new int[] { 1 });
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { fileOut };
rfr = new RasterProcessModel <Int16, float>();
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, float>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[2].RasterBandsData[0] != null)
{
int length = rvInVistor[2].RasterBandsData[0].Length;
for (int i = 0; i < length; i++)
{
if (rvInVistor[2].RasterBandsData[0][i] == 1)
{
short roughValue = rvInVistor[0].RasterBandsData[0][i];
if (roughValue == -9999)
{
rvOutVistor[0].RasterBandsData[0][i] = -9999f;
}
else
{
float value;
float ref1 = rvInVistor[1].RasterBandsData[0][i] / 10f;
float ref6 = rvInVistor[1].RasterBandsData[1][i] / 10f;
if (isCorrectAngle)
{
float angle = rvInVistor[3].RasterBandsData[0][i] / 100f;
ref1 = CorrectBandValue(angle, ref1);
ref6 = CorrectBandValue(angle, ref6);
}
if (roughValue <= 2000)
{
value = a0 + a1 * ref1 + a2 * ref1 / ref6 + a3 * (ref1 - ref6);
value = value <= 0 ? 0.1f : (value > 50 ? 50 : value);
rvOutVistor[0].RasterBandsData[0][i] = value;
}
else
{
value = b0 + b1 * ref1 + b2 * ref1 / ref6 + b3 * (ref1 - ref6);
value = value <= 0 ? 0.1f : (value > 50 ? 50 : value);
rvOutVistor[0].RasterBandsData[0][i] = value;
}
}
}
}
}
}));
rfr.Excute();
IFileExtractResult res = new FileExtractResult(_subProductDef.Identify, depthFileName, true);
res.SetDispaly(false);
return(res);
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
}
if (rms != null && rms.Count > 0)
{
foreach (RasterMaper rm in rms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
}
/// <summary>
/// 单文件计算其NDVI
/// </summary>
/// <param name="inputFile"></param>
/// <param name="bandNos"></param>
/// <param name="zoom"></param>
/// <param name="aoiTemplate"></param>
/// <param name="progressTracker"></param>
/// <returns></returns>
private IExtractResult CalcNDVI(string inputFile, int[] bandNos, float zoom, double[] CloudyZoom, float[] cloudyArgs, Int16 defCloudy, bool isFitterCloud, bool isAppCloud, string aoiTemplate, Action <int, string> progressTracker)
{
//查找输入文件对应的云判识结果文件
RasterProcessModel <ushort, short> rfr = null;
List <RasterMaper> fileIns = new List <RasterMaper>();
RasterMaper[] fileOuts = null;
IRasterDataProvider clmPrd = null;
try
{
//输入数据(LDF)
IRasterDataProvider inRaster = RasterDataDriver.Open(inputFile) as IRasterDataProvider;
if (inRaster == null)
{
PrintInfo("读取栅格文件失败：" + inRaster);
return(null);
}
//输出数据(NDVI)
string outFileName = GetFileName(new string[] { inRaster.fileName }, _subProductDef.ProductDef.Identify, _identify, ".dat", null);
IRasterDataDriver dd = RasterDataDriver.GetDriverByName("MEM") as IRasterDataDriver;
string mapInfo = inRaster.CoordEnvelope.ToMapInfoString(new Size(inRaster.Width, inRaster.Height));
string[] opts = new string[] {
"INTERLEAVE=BSQ",
"VERSION=MEM",
"WITHHDR=TRUE",
"SPATIALREF=" + inRaster.SpatialRef.ToProj4String(),
mapInfo
};
RasterDataProvider outRaster = dd.Create(outFileName, inRaster.Width, inRaster.Height, 1, enumDataType.Int16, opts) as RasterDataProvider;
outRaster.GetRasterBand(1).Fill(Int16.MinValue);
string clmFile = GetClmFile(inputFile);
int cloudCH = GetCloudCHNO();
//栅格数据映射
fileIns.Add(new RasterMaper(inRaster, bandNos));
if (isAppCloud)
{
if (!string.IsNullOrEmpty(clmFile) && File.Exists(clmFile))
{
clmPrd = GeoDataDriver.Open(clmFile) as IRasterDataProvider;
if (clmPrd.BandCount < cloudCH)
{
PrintInfo("请选择正确的云数据通道进行计算.");
isAppCloud = false;
}
else
{
fileIns.Add(new RasterMaper(clmPrd, new int[] { cloudCH }));
}
}
else
{
isAppCloud = false;
}
}
RasterMaper fileOut = new RasterMaper(outRaster, new int[] { 1 });
//创建处理模型
fileOuts = new RasterMaper[] { fileOut };
rfr = new RasterProcessModel <ushort, short>(progressTracker);
rfr.SetRaster(fileIns.ToArray(), fileOuts);
rfr.SetTemplateAOI(aoiTemplate);
rfr.RegisterCalcModel(new RasterCalcHandler <ushort, short>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData != null)
{
if (rvInVistor == null)
{
return;
}
ushort[] inBand0 = rvInVistor[0].RasterBandsData[0]; //第1个输入文件的第1个波段的各像素值
ushort[] inBand1 = rvInVistor[0].RasterBandsData[1]; //第1个输入文件的第2个波段的各像素值
ushort[] inBand2 = rvInVistor[0].RasterBandsData[2]; //第1个输入文件的第3个波段的各像素值
ushort[] inBand3 = rvInVistor[0].RasterBandsData[3]; //第1个输入文件的第4个波段的各像素值
ushort[] inBand12 = isAppCloud ? rvInVistor[1].RasterBandsData[0] : null; //第2个输入文件的第1个波段的各像素值
short[] ndvi = new short[inBand0.Length];
if (aoi == null || aoi.Length == 0)
{
for (int index = 0; index < inBand0.Length; index++)
{
if ((inBand12 != null && inBand12[index] != 0) || (isFitterCloud && inBand1[index] / CloudyZoom[0] > cloudyArgs[0] && inBand3[index] / CloudyZoom[2] < cloudyArgs[1] && Math.Abs(inBand2[index] / CloudyZoom[1] - inBand3[index] / CloudyZoom[2]) > cloudyArgs[2]))
{
rvOutVistor[0].RasterBandsData[0][index] = defCloudy;
continue;
}
//第1个输出文件的第1个波段存储NDVI值
rvOutVistor[0].RasterBandsData[0][index] = (short)((inBand1[index] - inBand0[index]) * zoom / (inBand1[index] + inBand0[index]));
}
}
else if (aoi != null && aoi.Length != 0)
{
int index;
for (int i = 0; i < aoi.Length; i++)
{
index = aoi[i];
if ((inBand12 != null && inBand12[index] != 0) || (isFitterCloud && inBand1[index] / CloudyZoom[0] > cloudyArgs[0] && inBand3[index] / CloudyZoom[2] < cloudyArgs[1] && Math.Abs(inBand2[index] / CloudyZoom[1] - inBand3[index] / CloudyZoom[2]) > cloudyArgs[2]))
{
rvOutVistor[0].RasterBandsData[0][index] = defCloudy;
continue;
}
//第1个输出文件的第1个波段存储NDVI值
rvOutVistor[0].RasterBandsData[0][index] = (short)((inBand1[index] - inBand0[index]) * zoom / (inBand1[index] + inBand0[index]));
}
}
}
}));
//执行
rfr.Excute();
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outFileName, true);
res.SetDispaly(false);
return(res);
}
finally
{
if (fileIns != null)
{
for (int i = 0; i < fileIns.Count; i++)
{
fileIns[i].Raster.Dispose();
}
}
if (fileOuts != null)
{
for (int i = 0; i < fileOuts.Length; i++)
{
fileOuts[i].Raster.Dispose();
}
}
if (clmPrd != null)
{
clmPrd.Dispose();
}
}
}
private IFileExtractResult ComputeSnowDepth(string inputFileName, int[] bandNos, string[] argFiles, double[] sdParas)
{
List <RasterMaper> rms = null;
IRasterDataProvider outRaster = null;
RasterProcessModel <Int16, double> rfr = null;
try
{
rms = new List <RasterMaper>();
IRasterDataProvider inRaster = GeoDataDriver.Open(inputFileName) as IRasterDataProvider;
RasterMaper fileIn = new RasterMaper(inRaster, bandNos);
rms.Add(fileIn);
foreach (string file in argFiles)
{
IRasterDataProvider argRaster = GeoDataDriver.Open(file) as IRasterDataProvider;
RasterMaper argRm = new RasterMaper(argRaster, new int[] { 1 });
rms.Add(argRm);
}
string depthFileName = GetFileName(new string[] { inputFileName }, _subProductDef.ProductDef.Identify, "MWSD", ".dat", null);
outRaster = CreateOutRaster(depthFileName, enumDataType.Double, rms.ToArray(), inRaster.ResolutionX);
RasterMaper fileOut = new RasterMaper(outRaster, new int[] { 1 });
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { fileOut };
rfr = new RasterProcessModel <Int16, double>();
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, double>((rvInVistor, rvOutVistor, aoi) =>
{
if (rvInVistor[0].RasterBandsData[0] != null && rvInVistor[1].RasterBandsData[0] != null &&
rvInVistor[2].RasterBandsData[0] != null && rvInVistor[3].RasterBandsData[0] != null &&
rvInVistor[4].RasterBandsData[0] != null)
{
int dataLength = rvInVistor[0].RasterBandsData[0].Length;
int[] type = new int[dataLength];
double[] sdtmp = new double[dataLength];
for (int i = 0; i < dataLength; i++)
{
//type
type[i] = NO_SCATTER;
double ch10v = btValue(rvInVistor[0].RasterBandsData[0][i]);
double ch10h = btValue(rvInVistor[0].RasterBandsData[1][i]);
double ch18v = btValue(rvInVistor[0].RasterBandsData[2][i]);
double ch18h = btValue(rvInVistor[0].RasterBandsData[3][i]);
double ch23v = btValue(rvInVistor[0].RasterBandsData[4][i]);
double ch23h = btValue(rvInVistor[0].RasterBandsData[5][i]);
double ch36v = btValue(rvInVistor[0].RasterBandsData[6][i]);
double ch36h = btValue(rvInVistor[0].RasterBandsData[7][i]);
double ch89v = btValue(rvInVistor[0].RasterBandsData[8][i]);
double ch89h = btValue(rvInVistor[0].RasterBandsData[9][i]);
double si1 = ch23v - ch89v;
double si2 = ch18v - ch36v;
if (si1 >= 5 || si2 >= 5)
{
if (ch23v <= 260)
{
if (ch18v - ch36v >= 20)
{
if (si1 - si2 >= WET_FACTOR)
{
type[i] = THICK_DRY_SNOW;
}
else
{
type[i] = THICK_WET_SNOW;
}
}
else
{
if (si1 - si2 >= 8)
{
type[i] = THIN_DRY_SNOW;
}
else
{
if (si1 - si2 <= WET_FACTOR1)
{
type[i] = VERY_THICK_WET_SNOW;
}
else
{
if (ch18v - ch18h <= 6 && ch18v - ch36v >= 10)
{
type[i] = THIN_WET_SNOW_OR_FOREST_SNOW;
}
else
{
type[i] = NO_SNOW;
}
}
}
}
}
else
{
type[i] = NO_SNOW;
}
}
else
{
type[i] = NO_SNOW;
}
//sdtmp
double sdFarmland = sdParas[0] + sdParas[1] * (ch18v - ch36h) + sdParas[2] * (ch89v - ch89h);
double sdGrass = sdParas[3] + sdParas[4] * (ch18h - ch36h) - sdParas[5] * (ch18v - ch18h) + sdParas[6] * (ch10v - ch89h) - sdParas[7] * (ch18v - ch89h);
double sdBaren = sdParas[8] + sdParas[9] * (ch36h - ch89h) - sdParas[10] * (ch10v - ch89v);
double sdForest = sdParas[11] + sdParas[12] * (ch18h - ch36v) - sdParas[13] * (ch18v - ch18h) + sdParas[14] * (ch89v - ch89h);
sdtmp[i] = (rvInVistor[1].RasterBandsData[0][i] * sdBaren +
rvInVistor[2].RasterBandsData[0][i] * sdGrass +
rvInVistor[3].RasterBandsData[0][i] * sdForest +
rvInVistor[4].RasterBandsData[0][i] * sdFarmland) / 10000; //原地类百分比文件扩大了10000倍
//设置输出数据值
if (type[i] == NO_SNOW || type[i] == THICK_WET_SNOW || type[i] == THIN_WET_SNOW_OR_FOREST_SNOW || type[i] == VERY_THICK_WET_SNOW)
{
sdtmp[i] = 0.0;
}
if (sdtmp[i] < 0)
{
sdtmp[i] = 0;
}
else
{
sdtmp[i] = sdtmp[i];
}
rvOutVistor[0].RasterBandsData[0][i] = sdtmp[i];
}
}
//输出
}));
rfr.Excute();
IFileExtractResult res = new FileExtractResult(_subProductDef.Identify, depthFileName, true);
res.SetDispaly(false);
return(res);
}
finally
{
if (outRaster != null)
{
outRaster.Dispose();
}
if (rms != null && rms.Count > 0)
{
foreach (RasterMaper rm in rms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}
}
private string ProcessCloud(string srcFilename, int bandNo)
{
string cloudFile = GetClmFile(srcFilename);
if (string.IsNullOrEmpty(cloudFile) || !File.Exists(cloudFile))
{
return(srcFilename);
}
Int16 defCloudy = (Int16)_argumentProvider.GetArg("defCloudy");
List <RasterMaper> rms = new List <RasterMaper>();
IRasterDataProvider snwPrd = GeoDataDriver.Open(srcFilename) as RasterDataProvider;
IRasterDataProvider cloudPrd = GeoDataDriver.Open(cloudFile) as RasterDataProvider;
try
{
RasterMaper snwRm = new RasterMaper(snwPrd, new int[] { bandNo });
rms.Add(snwRm);
RasterMaper cloudRm = new RasterMaper(cloudPrd, new int[] { GetCloudCHNO() });
rms.Add(cloudRm);
MifConfig mifConfig = new MifConfig();
string outFileName = mifConfig.GetConfigValue("TEMP") + "\\" + Guid.NewGuid() + ".dat";
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = null;
rfr = new RasterProcessModel <Int16, Int16>();
rfr.SetRaster(fileIns, fileOuts);
rfr.SetFeatureAOI(_argumentProvider.AOIs);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
if (rvInVistor[0].RasterBandsData == null || rvInVistor[1].RasterBandsData == null ||
rvInVistor[0].RasterBandsData[0] == null || rvInVistor[1].RasterBandsData[0] == null)
{
return;
}
for (int index = 0; index < dataLength; index++)
{
if (rvInVistor[1].RasterBandsData[0][index] == 1 && rvInVistor[0].RasterBandsData[0][index] == 0)
{
rvOutVistor[0].RasterBandsData[0][index] = defCloudy;
}
else
{
rvOutVistor[0].RasterBandsData[0][index] = rvInVistor[0].RasterBandsData[0][index];
}
}
}));
//执行
rfr.Excute();
return(outFileName);
}
}
finally
{
snwPrd.Dispose();
cloudPrd.Dispose();
}
}
private IExtractResult LAODAlgorithm(Action <int, string> progressTracker)
{
IRasterOperator <Int16> roper = new RasterOperator <Int16>();
string[] files = GetStringArray("SelectedPrimaryFiles");
if (files == null || files.Length == 0)
{
return(null);
}
string[] argFileArg = _argumentProvider.GetArg("RegionFileName") as string[];
string argFileName = argFileArg[0];
if (string.IsNullOrEmpty(argFileName))
{
PrintInfo("请设置等级参数文件！");
return(null);
}
SortedDictionary <float, float[]> levelRegions = GetArgFileRegion(argFileName);
if (levelRegions == null || levelRegions.Count == 0)
{
return(null);
}
string AODFile = Convert.ToString(_argumentProvider.GetArg("AODFile"));
if (string.IsNullOrWhiteSpace(AODFile))
{
return(null);
}
string[] aodFiles = AODFile.Split(new char[] { ',' });
if (aodFiles.Length != 2)
{
return(null);
}
string aodFile = aodFiles[0];
int bandNo = 1;
IBandNameRaster bandNameRaster = _argumentProvider.DataProvider as IBandNameRaster;
int aodNo = TryGetBandNo(bandNameRaster, "AODNO");
List <RasterMaper> rms = new List <RasterMaper>();
try
{
IRasterDataProvider dblv = RasterDataDriver.Open(files[0]) as IRasterDataProvider;
RasterMaper rmDBLV = new RasterMaper(dblv, new int[] { bandNo });
rms.Add(rmDBLV);
IRasterDataProvider aod = RasterDataDriver.Open(aodFile) as IRasterDataProvider;
if (aod.BandCount < bandNo)
{
PrintInfo("请选择正确的AOD数据进行定量产品计算。");
return(null);
}
RasterMaper rmAOD = new RasterMaper(aod, new int[] { aodNo });
rms.Add(rmAOD);
//输出文件准备（作为输入栅格并集处理）
RasterIdentify ri = GetRasterIdentifyID(files);
string outFileName = MifEnvironment.GetTempDir() + "\\" + ri.ToWksFileName(".dat");
bool isVaild = false;
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = null;
rfr = new RasterProcessModel <Int16, Int16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
for (int index = 0; index < dataLength; index++)
{
if (rvInVistor[0].RasterBandsData != null && rvInVistor[0].RasterBandsData[0] != null &&
rvInVistor[0].RasterBandsData[0][index] != 0)
{
if (rvInVistor[1].RasterBandsData != null && rvInVistor[1].RasterBandsData[0] != null)
{
foreach (float minValue in levelRegions.Keys)
{
if (rvInVistor[1].RasterBandsData[0][index] >= minValue && rvInVistor[1].RasterBandsData[0][index] < levelRegions[minValue][0])
{
rvOutVistor[0].RasterBandsData[0][index] = (Int16)levelRegions[minValue][1];
isVaild = true;
}
}
if (!isVaild)
{
rvOutVistor[0].RasterBandsData[0][index] = (Int16)1;
}
isVaild = false;
}
}
}
}));
//执行
rfr.Excute();
if (File.Exists(outFileName))
{
string dstFilename = ri.ToWksFullFileName(".dat");
CopyFileToDstDir(outFileName, dstFilename);
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, dstFilename, true);
res.SetDispaly(false);
CreateThemegrahic(dstFilename);
return(res);
}
return(null);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
}
private IExtractResult FRDSAlgorithm(Action <int, string> progressTracker)
{
string[] fileNames = GetStringArray("SelectedPrimaryFiles");
if (fileNames == null || fileNames.Count() == 0)
{
PrintInfo("请选择参与积雪天数统计的数据！");
return(null);
}
foreach (string f in fileNames)
{
if (!File.Exists(f))
{
PrintInfo("所选择的数据:\"" + f + "\"不存在。");
return(null);
}
}
int bandNo = 1;
ExtractResultArray array = new ExtractResultArray("SNW");
//输出文件准备（作为输入栅格并集处理）
RasterIdentify ri = GetRasterIdentifyID(ref fileNames);
string outFileName = ri.ToWksFullFileName(".dat");
//输入文件准备
List <RasterMaper> rms = new List <RasterMaper>();
string tempFilename;
try
{
for (int i = 0; i < fileNames.Length; i++)
{
tempFilename = ProcessCloud(fileNames[i], bandNo);
IRasterDataProvider inRaster = RasterDataDriver.Open(tempFilename) as IRasterDataProvider;
if (inRaster.BandCount < bandNo)
{
PrintInfo("请选择正确的数据进行积雪天数统计。");
return(null);
}
RasterMaper rm = new RasterMaper(inRaster, new int[] { tempFilename == fileNames[i] ? bandNo : 1 });
rms.Add(rm);
}
using (IRasterDataProvider outRaster = CreateOutRaster(outFileName, rms.ToArray()))
{
//栅格数据映射
RasterMaper[] fileIns = rms.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, new int[] { 1 }) };
//创建处理模型
RasterProcessModel <Int16, Int16> rfr = null;
rfr = new RasterProcessModel <Int16, Int16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
Int16[] nanValues = GetNanValues("CloudyValue");
Int16[] waterValues = GetNanValues("WaterValue");
Int16[] invailValues = GetNanValues("InvailValue");
Int16 currTimeValue = 0;
rfr.RegisterCalcModel(new RasterCalcHandler <Int16, Int16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
Int16[] timeValue = new Int16[dataLength];
List <Int16> tempValue = new List <Int16>();
for (int i = 0; i < dataLength; i++)
{
timeValue[i] = 0;
}
for (int index = 0; index < dataLength; index++)
{
foreach (RasterVirtualVistor <Int16> rvs in rvInVistor)
{
Int16[] dt = rvs.RasterBandsData[0];
if (dt == null)
{
continue;
}
tempValue.Add(dt[index]);
}
if (tempValue.Count == 0)
{
continue;
}
if (TimeValue(tempValue.ToArray(), nanValues, invailValues, waterValues, out currTimeValue))
{
timeValue[index] = currTimeValue;
}
tempValue.Clear();
}
for (int index = 0; index < dataLength; index++)
{
rvOutVistor[0].RasterBandsData[0][index] = timeValue[index];
}
}));
//执行
rfr.Excute(0);
FileExtractResult res = new FileExtractResult(_subProductDef.Identify, outFileName, true);
array.Add(res);
res.SetDispaly(false);
}
}
finally
{
foreach (RasterMaper rm in rms)
{
rm.Raster.Dispose();
}
}
_argumentProvider.SetArg("SelectedPrimaryFiles", new string[] { outFileName });
string instanceIdentify = _argumentProvider.GetArg("OutFileIdentify") as string;
if (string.IsNullOrWhiteSpace(instanceIdentify))
{
return(array);
}
SubProductInstanceDef instance = FindSubProductInstanceDefs(instanceIdentify);
IExtractResult ress = ThemeGraphyByInstance(instance);
if (ress != null)
{
array.Add(ress as IFileExtractResult);
}
return(array);
}
/// <summary>
/// 判识结果保存事件
/// </summary>
/// <param name="piexd">判识结果</param>
/// <param name="progressTracker"></param>
/// <returns></returns>
/// 原始影像和判识结果读取到一个结果集中，分为输入输出两个，输出的就是需要保存的结果
public override IExtractResult MakeExtProduct(IPixelIndexMapper piexd, Action <int, string> progressTracker)
{
//生成判识结果文件
IInterestedRaster <UInt16> iir = null;
RasterIdentify id = new RasterIdentify(_argumentProvider.DataProvider.fileName);
id.ThemeIdentify = "CMA";
id.ProductIdentify = "FOG";
id.SubProductIdentify = _identify;
id.GenerateDateTime = DateTime.Now;
iir = new InterestedRaster <UInt16>(id, piexd.Size, piexd.CoordEnvelope);
int[] idxs = piexd.Indexes.ToArray();
iir.Put(idxs, 1);
//原始影像raster
IRasterDataProvider sourceraster = _argumentProvider.DataProvider as IRasterDataProvider;
List <RasterMaper> listRaster = new List <RasterMaper>();
RasterMaper rmsoure = new RasterMaper(sourceraster, GetBandArray(sourceraster.BandCount));
RasterMaper rmpiexd = new RasterMaper(iir.HostDataProvider, new int[] { 1 });
int totalbandcount = sourceraster.BandCount;
listRaster.Add(rmpiexd);
listRaster.Add(rmsoure);
try
{
string outFileName = GetFileName(new string[] { _argumentProvider.DataProvider.fileName }, _subProductDef.ProductDef.Identify, "SRDA", ".ldf", null);
using (IRasterDataProvider outRaster = CreateOutM_BandRaster(outFileName, listRaster.ToArray(), totalbandcount))
{
//波段总数
RasterMaper[] fileIns = listRaster.ToArray();
RasterMaper[] fileOuts = new RasterMaper[] { new RasterMaper(outRaster, GetBandArray(totalbandcount)) };
//创建处理模型
RasterProcessModel <UInt16, UInt16> rfr = null;
rfr = new RasterProcessModel <UInt16, UInt16>(progressTracker);
rfr.SetRaster(fileIns, fileOuts);
rfr.SetFeatureAOI(_argumentProvider.AOIs);
rfr.RegisterCalcModel(new RasterCalcHandler <UInt16, UInt16>((rvInVistor, rvOutVistor, aoi) =>
{
int dataLength = rvOutVistor[0].SizeY * rvOutVistor[0].SizeX;
if (rvInVistor[0].RasterBandsData == null || rvInVistor[1].RasterBandsData == null ||
rvInVistor[0].RasterBandsData[0] == null || rvInVistor[1].RasterBandsData[0] == null)
{
return;
}
// if (_argumentProvider.AOIs == null)
for (int index = 0; index < dataLength; index++)
{
if (rvInVistor[0].RasterBandsData[0][index] == 1)
{
for (int i = 0; i < totalbandcount; i++)
{
rvOutVistor[0].RasterBandsData[i][index] = rvInVistor[1].RasterBandsData[i][index];
}
}
}
}
));
//执行
rfr.Excute(0);
}
string dstfilename = outFileName.Replace(".ldf", ".dat");
if (File.Exists(dstfilename))
{
File.Delete(dstfilename);
}
File.Move(outFileName, dstfilename);
FileExtractResult res = new FileExtractResult("FOG", dstfilename, true);
res.SetDispaly(false);
return(res);
}
finally
{
iir.Dispose();
if (File.Exists(iir.FileName))
{
File.Delete(iir.FileName);
}
}
}
private IExtractResult VirrAlgorithm()
{
int farInfraredNo1, farInfraredNo2;
IBandNameRaster bandNameRaster = _argumentProvider.DataProvider as IBandNameRaster;
farInfraredNo1 = TryGetBandNo(bandNameRaster, "FarInfrared1");
farInfraredNo2 = TryGetBandNo(bandNameRaster, "FarInfrared2");
if (farInfraredNo1 == -1 || farInfraredNo2 == -1)
{
PrintInfo("获取波段序号失败,可能是波段映射表配置错误或判识算法波段参数配置错误。");
return(null);
}
int[] bandNos = new int[] { farInfraredNo1, farInfraredNo2 };
if (_argumentProvider.GetArg("BinaryFile") == null)
{
PrintInfo("获取判识结果文件失败。");
return(null);
}
string dblvFile = _argumentProvider.GetArg("BinaryFile").ToString();
if (string.IsNullOrEmpty(dblvFile) || !File.Exists(dblvFile))
{
PrintInfo("获取判识结果文件失败。");
return(null);
}
string angleFile = _argumentProvider.GetArg("AngleFile").ToString();
if (string.IsNullOrEmpty(angleFile) || !File.Exists(angleFile))
{
PrintInfo("获取太阳天顶角文件失败。");
return(null);
}
//参数检查与获取
string landTypeFile = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "SystemData\\ProductArgs\\DST\\GlobleLandCover.dat");
if (!File.Exists(landTypeFile))
{
PrintInfo("土地类型文件不存在！");
return(null);
}
string tempFile = _argumentProvider.GetArg("TemperatureFile").ToString();
if (string.IsNullOrEmpty(tempFile) || !File.Exists(tempFile))
{
PrintInfo("获取温度场文件失败。");
return(null);
}
string pressureFile = _argumentProvider.GetArg("PressureFile").ToString();
if (string.IsNullOrEmpty(pressureFile) || !File.Exists(pressureFile))
{
PrintInfo("获取气压场文件失败。");
return(null);
}
//进行光学厚度与沙尘粒子有效半径计算需要文件：1、原始影像数据；2、查算表数据；3、太阳高度角数据
List <RasterMaper> inputRms = new List <RasterMaper>();
List <RasterMaper> outputRms = new List <RasterMaper>();
try
{
//当前影像（待判识文件）
RasterMaper rm = new RasterMaper(_argumentProvider.DataProvider, bandNos);
inputRms.Add(rm);
//判识结果文件
IRasterDataProvider dblvPrd = GeoDataDriver.Open(dblvFile) as IRasterDataProvider;
RasterMaper dblvRm = new RasterMaper(dblvPrd, new int[] { 1 });
inputRms.Add(dblvRm);
//太阳天顶角文件
IRasterDataProvider angleDataPrd = GeoDataDriver.Open(angleFile) as IRasterDataProvider;
RasterMaper anglerm = new RasterMaper(angleDataPrd, new int[] { 1 });
inputRms.Add(anglerm);
//土地类型文件
IRasterDataProvider landTypeDataPrd = GeoDataDriver.Open(landTypeFile) as IRasterDataProvider;
RasterMaper landTypeRm = new RasterMaper(landTypeDataPrd, new int[] { 1 });
inputRms.Add(landTypeRm);
//温度场文件
IRasterDataProvider tempDataPrd = GeoDataDriver.Open(landTypeFile) as IRasterDataProvider;
RasterMaper tempRm = new RasterMaper(tempDataPrd, new int[] { 1 });
inputRms.Add(tempRm);
//气压场文件
IRasterDataProvider pressureDataPrd = GeoDataDriver.Open(pressureFile) as IRasterDataProvider;
RasterMaper pressureRm = new RasterMaper(tempDataPrd, new int[] { 1 });
inputRms.Add(pressureRm);
RasterIdentify ri = new RasterIdentify(_argumentProvider.DataProvider.fileName);
ri.ProductIdentify = "DST";
ri.IsOutput2WorkspaceDir = true;
IRasterDataProvider htRaster = CreateOutRaster(ri, dblvPrd, "0DHT");
RasterMaper htRm = new RasterMaper(htRaster, new int[] { 1 });
outputRms.Add(htRm);
IRasterDataProvider optRaster = CreateOutRaster(ri, dblvPrd, "0OPT");
RasterMaper optRm = new RasterMaper(optRaster, new int[] { 1 });
outputRms.Add(optRm);
//栅格数据映射
RasterMaper[] fileIns = inputRms.ToArray();
RasterMaper[] fileOuts = outputRms.ToArray();
//创建处理模型
RasterProcessModel <short, float> rfr = new RasterProcessModel <short, float>();
rfr.SetRaster(fileIns, fileOuts);
#region
rfr.RegisterCalcModel(new RasterCalcHandler <short, float>((rvInVistor, rvOutVistor, aoi) =>
{
int landType;
float t1 = 0, t2 = 0;
if (rvInVistor[0].RasterBandsData[0] != null)
{
int length = rvInVistor[0].RasterBandsData[0].Length;
for (int i = 0; i < length; i++)
{
if (rvInVistor[1].RasterBandsData[0][i] == 1)
{
if (rvInVistor[4].RasterBandsData[0][i] > 263)
{
t1 = rvInVistor[4].RasterBandsData[0][i] - 3;
t2 = rvInVistor[4].RasterBandsData[0][i] + 3;
}
if (rvInVistor[4].RasterBandsData[0][i] < rvInVistor[0].RasterBandsData[0][i])
{
t1 = rvInVistor[0].RasterBandsData[0][i];
t2 = rvInVistor[0].RasterBandsData[0][i] + 5;
}
//for(int m=0;m<)
landType = rvInVistor[3].RasterBandsData[0][i];
//water
if (landType == 0 || landType >= 17)
{
}
//desert
else if (landType == 16)
{
}
else
{
}
}
}
}
}));
#endregion
rfr.Excute();
FileExtractResult htResult = new FileExtractResult("0DHT", htRaster.fileName, true);
htResult.SetDispaly(false);
FileExtractResult optResult = new FileExtractResult("0OPT", optRaster.fileName, true);
optResult.SetDispaly(false);
ExtractResultArray resultArray = new ExtractResultArray(_subProductDef.Identify);
resultArray.Add(htResult);
resultArray.Add(optResult);
return(resultArray);
}
finally
{
for (int i = 1; i < inputRms.Count; i++)
{
if (inputRms[i].Raster != null)
{
inputRms[i].Raster.Dispose();
}
}
foreach (RasterMaper rm in outputRms)
{
if (rm.Raster != null)
{
rm.Raster.Dispose();
}
}
}
}