public string[] FilesEOFStatAOI(string[] files, int bandNum, string bandname, string[] fillvalue, string outDir, Action <int, string> progressCallback, double leftRatio = 1)
{
string regionName = "all";
PrjEnvelope envelope = null;
PrjEnvelope dstleftPrj = null;
int outaoiwidth, outaoiheight;
int[] outaoiIndex;
if (StatRegionSet.UseVectorAOIRegion)
{
if (leftRatio < 1)
{
leftRatio = 1;
}
envelope = StatRegionSet.AOIPrjEnvelope;
_aoiContainer = StatRegionSet.AoiContainer;
regionName = StatRegionSet.AOIName;
if (leftRatio >= 1) //将原始文件降采样，然后再计算aoi,再取点；输出分辨率采用原始文件分辨率；
{
int[] dataPosL;
float rawReslxL = 1, rawReslyL = 1;//,outReslx,outResly;
if (!CheckRegionIntersect(files[0], envelope, out dstleftPrj, out rawReslxL, out rawReslyL, out dataPosL))
{
throw new ArgumentException("重采样AOI区域为空！");
}
CoordEnvelope subFileEnv = new CoordEnvelope(dstleftPrj.MinX, dstleftPrj.MaxX, dstleftPrj.MinY, dstleftPrj.MaxY);
StatRegionSet.SubRegionEnv = subFileEnv;
Size subAOISize = new Size(dataPosL[2], dataPosL[3]);
outaoiwidth = (int)(subAOISize.Width / leftRatio);
outaoiheight = (int)(subAOISize.Height / leftRatio);
//outReslx = rawReslxL * (float)leftRatio;
//outResly = rawReslyL * (float)leftRatio;
Size outAOISize = new Size(outaoiwidth, outaoiheight);
outaoiIndex = GetAOI(subFileEnv, _aoiContainer, outAOISize);
if (outaoiIndex == null || outaoiIndex.Length <= 0)
{
throw new ArgumentException("重采样AOI区域为空！");
}
StatRegionSet.SubRegionOutSize = outAOISize;
StatRegionSet.SubRegionOutIndex = outaoiIndex;
double[,] marix = GetTimeSeriesResampledDataFromSubRegionOutIndex(files, bandNum, fillvalue, outaoiIndex, dataPosL, outAOISize);
//string[] result = SaveSVDAnaResult(marix, outDir, subFileEnv,outAOISize, outaoiIndex, 1, false);
if (progressCallback != null)
{
progressCallback(15, "完成数据采样及标准化,开始EOF分解计算...");
}
CloudParaStat stat = new CloudParaStat();
return(stat.AlglibEOF(marix, outDir, bandname, progressCallback, false, null));
}
else //采样率==1，不需要抽样，直接使用AOIindex获取数据进行分析
{
return(null);
}
}
return(null);
}
public string[] FilesSVDStatAOI(string[] filesL, int bandNumL, string[] fillvalueL, string[] filesR, int bandNumR, string[] fillvalueR, double leftRatio, double rightRatio, string outDir, Action <int, string> progressCallback, bool LisMicaps = false, bool RisMicaps = false)
{
if (!Directory.Exists(outDir))
{
Directory.CreateDirectory(outDir);
}
if (StatRegionSet.UseVectorAOIRegion)//使用自定义区域
{
PrjEnvelope RegionEnv = null;
string regionName = "all";
int outaoiwidthL, outaoiheightL, outaoiwidthR, outaoiheightR;
int[] outaoiIndexL, outaoiIndexR;
if (StatRegionSet.UseVectorAOIRegion)
{
RegionEnv = StatRegionSet.AOIPrjEnvelope;
_aoiContainer = StatRegionSet.AoiContainer;
regionName = StatRegionSet.AOIName;
}
PrjEnvelope dstleftPrj, dstrightPrj, dstPrjEnv;
float reslxL, reslyL, reslxR, reslyR;
int[] dataPosL, dataPosR;
if (!CheckRegionIntersect(filesL[0], RegionEnv, out dstleftPrj, out reslxL, out reslyL, out dataPosL))
{
throw new ArgumentException("设置的区域没有可分析的左场数据!");
}
if (!CheckRegionIntersect(filesR[0], RegionEnv, out dstrightPrj, out reslxR, out reslyR, out dataPosR))
{
throw new ArgumentException("设置的区域没有可分析的右场数据!");
}
dstPrjEnv = PrjEnvelope.Intersect(dstleftPrj, dstrightPrj);
if (dstPrjEnv == null || dstPrjEnv.Height == 0 || dstPrjEnv.Width == 0)
{
throw new ArgumentException("左右场的AOI区域无交集，无法进行统计分析!");
}
if (progressCallback != null)
{
progressCallback(0, "开始读取左场数据...");
}
CoordEnvelope subFileEnv = new CoordEnvelope(dstleftPrj.MinX, dstleftPrj.MaxX, dstleftPrj.MinY, dstleftPrj.MaxY);
StatRegionSet.SubRegionEnvLeft = subFileEnv;
if (leftRatio < 1)
{
leftRatio = 1;
}
Size subAOISize = new Size(dataPosL[2], dataPosL[3]); //AOI外包矩形在file中的大小
outaoiwidthL = (int)(subAOISize.Width / leftRatio); //AOI外包矩形的输出列数
outaoiheightL = (int)(subAOISize.Height / leftRatio); //AOI外包矩形的输出行数
Size outAOISize = new Size(outaoiwidthL, outaoiheightL); //输出文件的大小
outaoiIndexL = GetAOI(subFileEnv, _aoiContainer, outAOISize); //AOI在输出文件中的Index
if (outaoiIndexL == null || outaoiIndexL.Length <= 0)
{
throw new ArgumentException("左场重采样AOI区域为空！");
}
StatRegionSet.SubRegionOutSizeLeft = outAOISize;
StatRegionSet.SubRegionOutIndexLeft = outaoiIndexL;
double[,] marixL = GetTimeSeriesResampledDataFromSubRegionOutIndex(filesL, bandNumL, fillvalueL, outaoiIndexL, dataPosL, outAOISize);
Size leftSize = new Size(marixL.GetLength(1), marixL.GetLength(0)); //左场数据大小
if (progressCallback != null)
{
progressCallback(5, "开始读取右场数据...");
}
subFileEnv = new CoordEnvelope(dstrightPrj.MinX, dstrightPrj.MaxX, dstrightPrj.MinY, dstrightPrj.MaxY);
StatRegionSet.SubRegionEnvRight = subFileEnv;
if (rightRatio < 1)
{
rightRatio = 1;
}
subAOISize = new Size(dataPosR[2], dataPosR[3]); //AOI外包矩形在file中的大小
outaoiwidthR = (int)(subAOISize.Width / rightRatio); //AOI外包矩形的输出列数
outaoiheightR = (int)(subAOISize.Height / rightRatio); //AOI外包矩形的输出行数
outAOISize = new Size(outaoiwidthR, outaoiheightR); //输出文件的大小
outaoiIndexR = GetAOI(subFileEnv, _aoiContainer, outAOISize); //AOI在输出文件中的Index
if (outaoiIndexR == null || outaoiIndexR.Length <= 0)
{
throw new ArgumentException("右场重采样AOI区域为空！");
}
StatRegionSet.SubRegionOutSizeRight = outAOISize;
StatRegionSet.SubRegionOutIndexRight = outaoiIndexR;
double[,] marixr = GetTimeSeriesResampledDataFromSubRegionOutIndex(filesL, bandNumL, fillvalueL, outaoiIndexL, dataPosL, outAOISize);
Size rightSize = new Size(marixr.GetLength(1), marixr.GetLength(0)); //右场数据大小
if (progressCallback != null)
{
progressCallback(15, "完成数据采样及标准化,开始矩阵计算...");
}
CloudParaStat stat = new CloudParaStat();
return(stat.AlglibSVDWithAOI(marixL, marixr, outDir, filesL[0], leftSize, rightSize, progressCallback));
}
return(null);
}
public double FilesCorrelateStatAOI(string[] filesL, int bandNumL, string[] fillvalueL, string[] filesR, int bandNumR, string[] fillvalueR, Action <int, string> progressCallback, out long scL, out long scR)
{
scR = 0; scL = 0;
//int widthl = 0, heightl = 0, lengthl = filesL.Length;
//int widthr = 0, heightr = 0, lengthr = filesR.Length;
//int xoffsetl = 0, yoffsetl = 0, xoffsetr = 0, yoffsetr = 0;
if (StatRegionSet.UseVectorAOIRegion)
{
PrjEnvelope RegionEnv = StatRegionSet.AOIPrjEnvelope;
_aoiContainer = StatRegionSet.AoiContainer;
_VectorAOIName = StatRegionSet.AOIName;
if (RegionEnv == null || RegionEnv.Height <= 0 || RegionEnv.Width <= 0)
{
throw new ArgumentException("矢量AOI区域设置无效或范围不合法！");
}
//int[] dataPosL, dataPosR;
//PrjEnvelope dstmainPrjL = null,dstmainPrjR = null;
//if (CheckRegionIntersect(filesL[0], RegionEnv, out dataPosL, out dstmainPrjL))
//{
// xoffsetl = dataPosL[0];
// yoffsetl = dataPosL[1];
// widthl = dataPosL[2];
// heightl = dataPosL[3];
//}
//if (CheckRegionIntersect(filesR[0], RegionEnv, out dataPosR, out dstmainPrjR))
//{
// xoffsetr = dataPosR[0];
// yoffsetr = dataPosR[1];
// widthr = dataPosR[2];
// heightr = dataPosR[3];
//}
}
if (progressCallback != null)
{
progressCallback(3, "开始读取波段数据...");
}
#region 获取左场数据
enumDataType datatype = enumDataType.Unknow;
CoordEnvelope FileEnvL, FileEnvR = null;
Size fileSizeL, fileSizeR;
int[] aoiL, aoiR;
using (IRasterDataProvider dataPrd = GeoDataDriver.Open(filesL[0]) as IRasterDataProvider)
{
if (dataPrd == null)
{
throw new FileLoadException(filesL[0] + "打开失败！");
}
datatype = dataPrd.DataType;
FileEnvL = dataPrd.CoordEnvelope;
fileSizeL = new Size(dataPrd.Width, dataPrd.Height);
}
aoiL = GetAOI(FileEnvL, _aoiContainer, fileSizeL);
if (aoiL == null || aoiL.Length <= 0)
{
throw new ArgumentException("矢量AOI区域设置无效或范围不合法，左场AOI区域内点数为0！");
}
double[] marixl = GetCorrelateArrayAOI(filesL, bandNumL, fileSizeL, fillvalueL, datatype, aoiL, out scL);
#endregion
#region 获取右场数据
using (IRasterDataProvider dataPrd = GeoDataDriver.Open(filesR[0]) as IRasterDataProvider)
{
if (dataPrd == null)
{
throw new FileLoadException(filesR[0] + "打开失败！");
}
datatype = dataPrd.DataType;
FileEnvR = dataPrd.CoordEnvelope;
fileSizeR = new Size(dataPrd.Width, dataPrd.Height);
}
aoiR = GetAOI(FileEnvR, _aoiContainer, fileSizeR);
if (aoiR == null || aoiL.Length <= 0)
{
throw new ArgumentException("矢量AOI区域设置无效或范围不合法！");
}
double[] marixr = GetCorrelateArrayAOI(filesR, bandNumR, fileSizeR, fillvalueR, datatype, aoiR, out scR);
#endregion
//计算相关系数
CloudParaStat stat = new CloudParaStat();
if (progressCallback != null)
{
progressCallback(50, "开始计算相关系数...");
}
double cor = stat.CalculateCorrelationCoefficient(marixl, marixr, scL, scR);//取样本数最小
if (progressCallback != null)
{
progressCallback(100, "相关系数计算完成！");
}
return(cor);
}