private void SetEnvelopeToUI(GeoDo.RasterProject.PrjEnvelope prjEnvelope)
{
if (radCenter.Checked)
{
geoRegionEditCenter1.SetGeoEnvelope(prjEnvelope);
}
else
{
geoRange1.MaxX = prjEnvelope.MaxX;
geoRange1.MinX = prjEnvelope.MinX;
geoRange1.MaxY = prjEnvelope.MaxY;
geoRange1.MinY = prjEnvelope.MinY;
}
}
public static PrjEnvelope GetEnvelope(float[] srcXs, float[] srcYs, ISpatialReference dstSpatialRef, Action <int, string> progressCallback)
{
if (dstSpatialRef == null)
{
dstSpatialRef = SpatialReference.GetDefault();
}
PrjEnvelope maskEnvelope = new PrjEnvelope(double.MinValue, double.MaxValue, double.MinValue, double.MaxValue);
bool isLatLong = (dstSpatialRef.ProjectionCoordSystem == null && dstSpatialRef.GeographicsCoordSystem != null);
if (isLatLong)//投影目标是地理坐标
{
//maskEnvelope = new PrjEnvelope(-180, 180, -90, 90);
maskEnvelope = new PrjEnvelope(-145, 180, -75, 75);
}
else
{
;
} //其他投影范围未实现
PrjEnvelope dstEnvelope = PrjEnvelope.GetEnvelope(srcXs, srcYs, maskEnvelope);
return(dstEnvelope);
}
/// <summary>
/// 这里面的去除噪声数据的处理，会影响到全球拼图处理中数据跨越+-180度数据的正确经纬度设置。
/// </summary>
/// <param name="srcXs"></param>
/// <param name="srcYs"></param>
/// <param name="maskEnvelope"></param>
/// <param name="dstSpatialRef"></param>
/// <param name="progressCallback"></param>
/// <returns></returns>
public static PrjEnvelope GetEnvelope(double[] srcXs, double[] srcYs, PrjEnvelope maskEnvelope, ISpatialReference dstSpatialRef, Action <int, string> progressCallback)
{
if (dstSpatialRef == null)
{
dstSpatialRef = SpatialReference.GetDefault();
}
bool isLatLong = (dstSpatialRef.ProjectionCoordSystem == null && dstSpatialRef.GeographicsCoordSystem != null);
double noise = 0d;
if (maskEnvelope == null)
{
noise = 0.001d;
if (isLatLong && maskEnvelope == null)//投影目标是地理坐标
{
maskEnvelope = new PrjEnvelope(-180, 180, -90, 90);
//maskEnvelope = new PrjEnvelope(-145, 180, -75, 75);
}
else
{
maskEnvelope = new PrjEnvelope(double.MinValue, double.MaxValue, double.MinValue, double.MaxValue);
;//...
}
}
PrjEnvelope dstEnvelope = PrjEnvelope.GetEnvelope(srcXs, srcYs, maskEnvelope);
bool spans180thMeridian = maskEnvelope.Width - dstEnvelope.Width < 0.011d; //(这里应当传入角度分辨率)
if (spans180thMeridian) //跨越180度数据，不再去除噪声数据。
{
dstEnvelope.MinX = maskEnvelope.MinX;
dstEnvelope.MaxX = maskEnvelope.MaxX;
}
else if (noise != 0d)//可以去除0.1%以下的噪声数据
{
dstEnvelope.MinX = dstEnvelope.MinX + dstEnvelope.Width * noise;
dstEnvelope.MaxX = dstEnvelope.MaxX - dstEnvelope.Width * noise;
dstEnvelope = PrjEnvelope.GetEnvelope(srcXs, srcYs, dstEnvelope);
}
return(dstEnvelope);
}
/// <summary>
/// 根据给出的经纬度数据集或者投影坐标数据集，计算其是否在指定的范围内，并且计算出有效率，以及实际输出范围
/// </summary>
/// <param name="xs"></param>
/// <param name="ys"></param>
/// <param name="validEnv"></param>
/// <param name="oSpatialRef"></param>
/// <param name="tSpatialRef"></param>
/// <param name="validRate"></param>
/// <param name="outEnv"></param>
/// <returns></returns>
public bool VaildEnvelope(double[] xs, double[] ys, PrjEnvelope validEnv, ISpatialReference oSpatialRef, ISpatialReference tSpatialRef, out double validRate, out PrjEnvelope outEnv)
{
if (validEnv == null || validEnv.IsEmpty)
{
throw new ArgumentNullException("validEnv", "参数[有效范围]不能为空");
}
if (tSpatialRef == null)
{
tSpatialRef = SpatialReference.GetDefault();
}
if (oSpatialRef == null)
{
oSpatialRef = SpatialReference.GetDefault();
}
using (IProjectionTransform transform = ProjectionTransformFactory.GetProjectionTransform(oSpatialRef, tSpatialRef))
{
if (!oSpatialRef.IsSame(tSpatialRef))
{
transform.Transform(xs, ys);
}
bool isLatLong = (tSpatialRef.ProjectionCoordSystem == null && tSpatialRef.GeographicsCoordSystem != null);
return(PrjEnvelope.HasValidEnvelope(xs, ys, validEnv, out validRate, out outEnv));
}
}
/// <summary>
/// mod06 云产品5公里数据投影
/// </summary>
/// <param name="file"></param>
/// <param name="outdir"></param>
/// <param name="dataset"></param>
/// <param name="env"></param>
/// <param name="res"></param>
/// <param name="regionNam"></param>
/// <param name="progressTracker"></param>
/// <returns></returns>
public string Projectmod06(string file, string outdir, string dataset, PrjEnvelope env, float res, string regionNam)
{
Action <int, string> progressTracker = null;
IRasterDataProvider mainRaster = null;
IRasterDataProvider locationRaster = null;
string outfile = outdir + "\\" + Path.GetFileNameWithoutExtension(file) + "." + regionNam + "." + dataset + ".ldf";
try
{
string[] openArgs = new string[] { "datasets=" + dataset };
mainRaster = RasterDataDriver.Open(file, openArgs) as IRasterDataProvider;
string[] locationArgs = new string[] { "datasets=" + "Latitude,Longitude", "geodatasets=" + "Latitude,Longitude" };
locationRaster = RasterDataDriver.Open(file, locationArgs) as IRasterDataProvider;
if (locationRaster == null || locationRaster.BandCount == 0)
{
return(null);
}
HDF4FilePrjSettings setting = new HDF4FilePrjSettings();
setting.LocationFile = locationRaster;
setting.OutFormat = "LDF";
setting.OutResolutionX = setting.OutResolutionY = res;
Dictionary <string, double> exargs = new Dictionary <string, double>();
if (dataset.Contains("Cloud_Top_Temperature"))
{
exargs.Add("FillValue", -32768);
}
if (dataset.Contains("Cloud_Fraction"))
{
exargs.Add("FillValue", 127);
}
setting.ExtArgs = new object[] { exargs };
setting.OutPathAndFileName = outfile;
HDF4FileProjector projector = new HDF4FileProjector();
GeoDo.RasterProject.PrjEnvelope dstmainPrj = env;
if (dstmainPrj != null)
{
setting.OutEnvelope = dstmainPrj;
projector.Project(mainRaster, setting, SpatialReference.GetDefault(), null);
}
else
{
return(null);
}
}
catch (Exception ex)
{
}
finally
{
if (mainRaster != null)
{
mainRaster.Dispose();
mainRaster = null;
}
if (locationRaster != null)
{
locationRaster.Dispose();
locationRaster = null;
}
}
return(outfile);
}
public void ComputeDstEnvelope(ISpatialReference srcSpatialRef, double[] srcXs, double[] srcYs, Size srcSize,
ISpatialReference dstSpatialRef, out PrjEnvelope dstEnvelope, Action <int, string> progressCallback)
{
ComputeDstEnvelope(srcSpatialRef, srcXs, srcYs, srcSize, dstSpatialRef, null, out dstEnvelope, progressCallback);
}
public void ComputeDstEnvelope(ISpatialReference srcSpatialRef, double[] srcXs, double[] srcYs, Size srcSize, ISpatialReference dstSpatialRef, PrjEnvelope maskEnvelope,
out PrjEnvelope dstEnvelope, Action <int, string> progressCallback)
{
Transform(srcSpatialRef, srcXs, srcYs, dstSpatialRef);
dstEnvelope = GetEnvelope(srcXs, srcYs, maskEnvelope, dstSpatialRef, progressCallback);
}
/// <summary>
/// 通过插值经纬度数据，生成查找表
/// 线性外插：从实际情况看，不需要执行这个线性外插，即可消除bow-tie弯弓效应。即：每个整扫描带跳过最后一行的插值。
/// 目前局部数据看到的情况是，Fy3AMERSI的原始数据已经处理了bow-tie，FY3B和FY3C的没处理。
/// 本插值仅适用于经纬度放大的情况，比如放大1倍，放大两倍等等。
/// </summary>
/// <param name="srcToDstProjXs"></param>
/// <param name="srcToDstProjYs"></param>
/// <param name="srcJdSize"></param>
/// <param name="srcDataSize"></param>
/// <param name="dstDataSize"></param>
/// <param name="dstEnvelope"></param>
/// <param name="rowMapTable"></param>
/// <param name="colMapTable"></param>
/// <param name="progressCallback"></param>
/// <param name="scanLineWidth"></param>
public void ComputeIndexMapTable(double[] srcToDstProjXs, double[] srcToDstProjYs, Size srcJdSize, Size srcDataSize,
Size dstDataSize, PrjEnvelope dstEnvelope,
out UInt16[] rowMapTable, out UInt16[] colMapTable, Action <int, string> progressCallback, int scanLineWidth)
{
int dstHeight = dstDataSize.Height;
int dstWidth = dstDataSize.Width;
int srcHeight = srcJdSize.Height;
int srcWidth = srcJdSize.Width;
int srcDataWidth = srcDataSize.Width;
int srcDataHeight = srcDataSize.Height;
int srcLength = srcWidth * srcHeight;
int srcDataLength = srcDataWidth * srcDataHeight;
int dstLength = dstWidth * dstHeight;
double dstResolutionsX = dstEnvelope.Width / dstWidth;
double dstResolutionsY = dstEnvelope.Height / dstHeight;
int slopeX = srcDataWidth / srcWidth; //4,2
int slopeY = srcDataHeight / srcHeight; //4,2
double dstMinX = dstEnvelope.MinX;
double dstMaxX = dstEnvelope.MaxX;
double dstMaxY = dstEnvelope.MaxY;
double dstMinY = dstEnvelope.MinY;
double srcValidMinX = dstEnvelope.MinX - dstResolutionsX * slopeX * 2;
double srcValidMaxX = dstEnvelope.MaxX + dstResolutionsX * slopeX;
double srcValidMaxY = dstEnvelope.MaxY + dstResolutionsY * slopeY * 2;
double srcValidMinY = dstEnvelope.MinY - +dstResolutionsY * slopeY;
float factorX = (float)srcWidth / srcDataWidth; //1/4;1/2
float factorY = (float)srcHeight / srcDataHeight; //1/4;1/2
byte[] lootUpTableTag = new byte[dstLength]; //
UInt16[] tmpRowLookUpTable = new UInt16[dstLength]; //
UInt16[] tmpColLookUpTable = new UInt16[dstLength]; //
if (InvalidValue != 0)
{
for (int i = 0; i < dstLength; i++)
{
tmpRowLookUpTable[i] = InvalidValue;
tmpColLookUpTable[i] = InvalidValue;
}
}
//扫描带宽度：10//用于去除
Parallel.For(0, srcHeight, (oldRow) => //oldRow、oldCol插值前的行，列
{
if (scanLineWidth > 1 && (oldRow + 1) % scanLineWidth == 0) //每条扫描线的最后一行。
{
}
else//线性内插
{
int destRowIndex, destColIndex;
int destIndex;
double curX, curY;
int dstCol;
float oldRowF, oldColF;
int newRow, newCol;
int dstRow;
int rowOffset = oldRow * srcWidth;
int srcIndex;
double srcX, srcY;
//临时存储插后的经纬度数据集
double[,] m_fTempLat = new double[slopeX, slopeY];
double[,] m_fTempLon = new double[slopeX, slopeY];
double p1, p2, p3, p4;
int v1, v2, v3, v4;
double pu1;
int vSrcWidth;
int v1SrcWidth;
int i, j;
double v, u;
//下面用双线性差值计算出放大后的经纬度(XY)值，公式如下：
//f(i+u,j+v)=(1-u)(1-v)f(i,j) + (1-u)vf(i,j+1) + u(1-v)f(i+1,j) + uvf(i+1,j+1)；
//p1=(1-u)(1-v),p2=(1-u)v,p3=u * (1 - v),p4=u * v
//
for (int oldCol = 0; oldCol < srcWidth; oldCol++)
{
srcIndex = rowOffset + oldCol;
srcX = srcToDstProjXs[srcIndex];
srcY = srcToDstProjYs[srcIndex];
if (srcY <= srcValidMaxY && srcY >= srcValidMinY && srcX >= srcValidMinX && srcX <= srcValidMaxX)
{
newRow = oldRow * slopeX;//记录插值后的行列号
newCol = oldCol * slopeX;
//下面使用双线性插值，插值放大后的区域的值
for (int blockRow = 0; blockRow < slopeY; blockRow++)
{
dstRow = blockRow + newRow; //目标行
oldRowF = dstRow * factorY;
i = (int)oldRowF; if (i > oldRowF)
{
--i; //x = (long)Math.Floor(fx);//取最大整数
}
u = oldRowF - i;
pu1 = 1 - u;
vSrcWidth = i * srcWidth;
v1SrcWidth = (i + 1) * srcWidth;
for (int blockCol = 0; blockCol < slopeX; blockCol++)
{
dstCol = blockCol + newCol; //目标列
oldColF = dstCol * factorX;
j = (int)oldColF; if (j > oldColF)
{
--j;
}
v = oldColF - j;
if (i >= srcHeight - 1 && j >= srcWidth - 1)//>=最后一行，并且>=最后一列
{
v1 = vSrcWidth + j;
p1 = pu1 * (1 - v);
m_fTempLon[blockRow, blockCol] = p1 * srcToDstProjXs[v1];
m_fTempLat[blockRow, blockCol] = p1 * srcToDstProjYs[v1];
}
else if (i >= srcHeight - 1)//最后一行
{
p1 = pu1 * (1 - v);
p2 = pu1 * v;
v1 = vSrcWidth + j;
v2 = vSrcWidth + j + 1;
m_fTempLon[blockRow, blockCol] =
p1 * srcToDstProjXs[v1] +
p2 * srcToDstProjXs[v2];
m_fTempLat[blockRow, blockCol] =
p1 * srcToDstProjYs[v1] +
p2 * srcToDstProjYs[v2];
}
else if (j >= srcWidth - 1)//最后一列
{
p1 = pu1 * (1 - v);
p3 = u * (1 - v);
v1 = vSrcWidth + j;
v3 = v1SrcWidth + j;
m_fTempLon[blockRow, blockCol] =
p1 * srcToDstProjXs[v1] +
p3 * srcToDstProjXs[v3];
m_fTempLat[blockRow, blockCol] =
p1 * srcToDstProjYs[v1] +
p3 * srcToDstProjYs[v3];
}
else//其他位置，双线性插值。
{
p1 = pu1 * (1 - v);
p2 = pu1 * v;
p3 = u * (1 - v);
p4 = u * v;
v1 = vSrcWidth + j;
v2 = vSrcWidth + j + 1;
v3 = v1SrcWidth + j;
v4 = v1SrcWidth + j + 1;
m_fTempLon[blockRow, blockCol] =
p1 * srcToDstProjXs[v1] +
p2 * srcToDstProjXs[v2] +
p3 * srcToDstProjXs[v3] +
p4 * srcToDstProjXs[v4];
m_fTempLat[blockRow, blockCol] =
p1 * srcToDstProjYs[v1] +
p2 * srcToDstProjYs[v2] +
p3 * srcToDstProjYs[v3] +
p4 * srcToDstProjYs[v4];
}
}
}
//计算查找表,将上面插好值的经纬度数据集映射到查找表
for (int blockRow = 0; blockRow < slopeY; blockRow++)
{
for (int blockCol = 0; blockCol < slopeX; blockCol++)
{
curX = m_fTempLon[blockRow, blockCol];
curY = m_fTempLat[blockRow, blockCol];
if (curY <= dstMaxY && curY >= dstMinY && curX >= dstMinX && curX <= dstMaxX)
{
destRowIndex = (int)((dstMaxY - curY) / dstResolutionsY); //Y方向计算出目标行
destColIndex = (int)((curX - dstMinX) / dstResolutionsX); //X方向计算出目标列
destIndex = destRowIndex * dstWidth + destColIndex;
if (lootUpTableTag[destIndex] == 0 &&
destRowIndex < dstHeight && destRowIndex >= 0 && destColIndex < dstWidth && destColIndex >= 0)
{
tmpRowLookUpTable[destIndex] = (UInt16)(oldRow * slopeX + blockRow);
tmpColLookUpTable[destIndex] = (UInt16)(oldCol * slopeY + blockCol);
lootUpTableTag[destIndex] = 1;
}
}
}
}
}
}
}
}
);
Interpolation.ChazhiNear(lootUpTableTag, dstDataSize.Width, dstDataSize.Height, tmpRowLookUpTable, tmpColLookUpTable);
rowMapTable = tmpRowLookUpTable;
colMapTable = tmpColLookUpTable;
}
/// <summary>
/// 这里的srcXs，srcYs是源参考投影(srcSpatialRef)下的值。
/// 给出的栅格坐标分辨率与栅格数据分辨率不同情况下的投影,例如数据数据分辨率是0.0025度，栅格坐标分辨率是0.01度。
/// </summary>
public void ComputeIndexMapTable(ISpatialReference srcSpatialRef, double[] srcXs, double[] srcYs, Size srcSize, Size srcDataSize,
ISpatialReference dstSpatialRef, Size dstSize, PrjEnvelope dstEnvelope,
out UInt16[] rowMapTable, out UInt16[] colMapTable, Action <int, string> progressCallback)
{
PrjEnvelope maxDstEnvelope;
ComputeDstEnvelope(srcSpatialRef, srcXs, srcYs, srcSize, dstSpatialRef, out maxDstEnvelope, progressCallback);
ComputeIndexMapTable(srcXs, srcYs, srcSize, srcDataSize, dstSize, dstEnvelope,
out rowMapTable, out colMapTable, progressCallback);
}
/// <summary>
/// 这里的srcToDstSpatialXs，srcToDstSpatialYs是目标参考投影(dstSpatialRef)下的值
/// </summary>
public void ComputeIndexMapTable(double[] srcToDstSpatialXs, double[] srcToDstSpatialYs, Size srcSize,
Size dstSize, PrjEnvelope dstEnvelope, PrjEnvelope maxDstEnvelope,
out UInt16[] rowMapTable, out UInt16[] colMapTable, Action <int, string> progressCallback)
{
if (!maxDstEnvelope.IntersectsWith(dstEnvelope))
{
throw new Exception("目标坐标数据不在指定区域范围内");
}
double dstMinX = dstEnvelope.MinX;
double dstMaxX = dstEnvelope.MaxX;
double dstMaxY = dstEnvelope.MaxY;
double dstMinY = dstEnvelope.MinY;
double dstResolutionsX = dstEnvelope.Width / dstSize.Width;
double dstResolutionsY = dstEnvelope.Height / dstSize.Height;
int srcLength = srcSize.Width * srcSize.Height;
int dstLength = dstSize.Width * dstSize.Height;
int dstHeight = dstSize.Height;
int dstWidth = dstSize.Width;
int srcHeight = srcSize.Height;
int srcWidth = srcSize.Width;
byte[] lootUpTableTag = new byte[dstLength]; //投影蒙板，用于图像内外标识(0：外部,1：内部)
UInt16[] tmpRowLookUpTable = new UInt16[dstLength];
UInt16[] tmpColLookUpTable = new UInt16[dstLength];
if (InvalidValue != 0)
{
for (int i = 0; i < dstLength; i++)
{
tmpRowLookUpTable[i] = InvalidValue;
tmpColLookUpTable[i] = InvalidValue;
}
}
int srcValidLeft = 0;
int srcValidRight = srcWidth;
Parallel.For((int)0, srcHeight, (j) =>
{
int srcIndex = 0;
int dstIndex = 0; //目标位置
int dstJ; //目标行
int dsti; //目标列
double curX, curY;
for (int i = srcValidLeft; i < srcValidRight; i++)
{
srcIndex = (j * srcWidth + i);
curX = srcToDstSpatialXs[srcIndex];
curY = srcToDstSpatialYs[srcIndex];
dstJ = (int)((dstMaxY - curY) / dstResolutionsY + 0.5); //Y方向计算出目标行 索引从0开始所以-1
dsti = (int)((curX - dstMinX) / dstResolutionsX + 0.5); //X方向计算出目标列
if (dstJ >= 0 && dstJ < dstHeight && dsti >= 0 && dsti < dstWidth)
{
dstIndex = dstJ * dstWidth + dsti;
tmpRowLookUpTable[dstIndex] = (UInt16)j;
tmpColLookUpTable[dstIndex] = (UInt16)i;
lootUpTableTag[dstIndex] = 1;
}
}
});
if (dstSize.Width >= 2 && dstSize.Height >= 2)
{
Interpolation.ChazhiNear(lootUpTableTag, dstSize.Width, dstSize.Height, tmpRowLookUpTable, tmpColLookUpTable);
}
rowMapTable = tmpRowLookUpTable;
colMapTable = tmpColLookUpTable;
}
public static void Project(PrjEnvelopeItem prjItem, string dataSet, string locationFile, string dataFile, string outFilename, float outResolution)
{
IRasterDataProvider mainRaster = null;
IRasterDataProvider locationRaster = null;
try
{
string[] openArgs = new string[] { "datasets=" + dataSet };
mainRaster = RasterDataDriver.Open(dataFile, openArgs) as IRasterDataProvider;
string[] locationArgs = new string[] { "datasets=" + "Latitude,Longitude", "geodatasets=" + "Latitude,Longitude" };
locationRaster = RasterDataDriver.Open(locationFile, locationArgs) as IRasterDataProvider;
if (locationRaster == null || locationRaster.BandCount == 0)
{
return;
}
HDF4FilePrjSettings setting = new HDF4FilePrjSettings();
setting.LocationFile = locationRaster;
setting.OutFormat = "LDF";
setting.OutResolutionX = setting.OutResolutionY = outResolution;
Dictionary <string, double> exargs = new Dictionary <string, double>();
double invalidValue;
if (double.TryParse(GetDefaultNullValue(mainRaster.DataType), out invalidValue))
{
exargs.Add("FillValue", invalidValue);
setting.ExtArgs = new object[] { exargs };
}
HDF4FileProjector projector = new HDF4FileProjector();
GeoDo.RasterProject.PrjEnvelope mainPrj;
projector.ComputeDstEnvelope(mainRaster, SpatialReference.GetDefault(), out mainPrj, null);
GeoDo.RasterProject.PrjEnvelope dstmainPrj = GeoDo.RasterProject.PrjEnvelope.Intersect(prjItem.PrjEnvelope, mainPrj);
if (dstmainPrj != null)
{
setting.OutEnvelope = dstmainPrj;
setting.OutPathAndFileName = outFilename;
projector.Project(mainRaster, setting, SpatialReference.GetDefault(), null);
}
else
{
return;
}
}
catch (System.Exception ex)
{
string fname = Path.GetFileName(dataFile);
string label = null;
if (fname.Contains("MOD"))
{
label = "MOD06ProjectError";
}
else if (fname.Contains("MYD"))
{
label = "MYD06ProjectError";
}
else
{
label = "AIRSProjectError";
}
LogFactory.WriteLine(label, "投影失败!" + ";" + dataFile + ";" + dataSet + ";" + outResolution.ToString("f2") + ";" + outFilename + ";" + ex.Message);
}
finally
{
if (mainRaster != null)
{
mainRaster.Dispose();
mainRaster = null;
}
if (locationRaster != null)
{
locationRaster.Dispose();
locationRaster = null;
}
}
}
private void PrjMERSI0250(string file, string secfile)
{
IRasterDataProvider srcRaster = null;
IRasterDataProvider secondFileRaster = null;
try
{
GeoDo.RasterProject.PrjEnvelope[] prjEnvelopes = new GeoDo.RasterProject.PrjEnvelope[]
{
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(100, 42, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(100, 36, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(100, 30, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 29, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 28, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 27, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 26, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 25, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 24, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 23, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 22, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 21, 10, 10),
//GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 20, 10, 10)
};
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
srcRaster = GetSrcRaster(file);
if (!string.IsNullOrWhiteSpace(secfile))
{
secondFileRaster = GetSrcRaster(secfile);
}
IFileProjector proj = FileProjector.GetFileProjectByName("FY3_MERSI");
proj.BeginSession(srcRaster);
for (int i = 0; i < prjEnvelopes.Length; i++)
{
try
{
GeoDo.RasterProject.PrjEnvelope prjEnvelope = prjEnvelopes[i];
FY3_MERSI_PrjSettings prjSetting = new FY3_MERSI_PrjSettings();
prjSetting.SecondaryOrbitRaster = secondFileRaster;
prjSetting.OutPathAndFileName = GetOutPutFile(file, i);
//prjSetting.OutEnvelope = prjEnvelope;
ISpatialReference dstSpatialRef = GetOutSpatialRef();
proj.Project(srcRaster, prjSetting, dstSpatialRef, _progressCallback);
this.Text = prjSetting.OutPathAndFileName;
}
catch (Exception ex)
{
this.Text = ex.Message;
}
}
proj.EndSession();
stopwatch.Stop();
WriteLine("数据投影{0}ms", stopwatch.ElapsedMilliseconds);
}
finally
{
if (secondFileRaster != null)
{
secondFileRaster.Dispose();
}
if (srcRaster != null)
{
if (srcRaster.BandProvider != null)
{
srcRaster.BandProvider.Dispose();
}
srcRaster.Dispose();
}
GC.Collect();
}
}
private void PrjMERSI1000(string file)
{
IRasterDataProvider srcRaster = null;
try
{
GeoDo.RasterProject.PrjEnvelope[] prjEnvelopes = new GeoDo.RasterProject.PrjEnvelope[]
{
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(100, 30, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(110, 29, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 28, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 27, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 26, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 25, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 24, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 23, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 22, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 21, 10, 10),
GeoDo.RasterProject.PrjEnvelope.CreateByCenter(105, 20, 10, 10)
};
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
srcRaster = GetSrcRaster(file);
IFileProjector proj = FileProjector.GetFileProjectByName("FY3_MERSI");
proj.BeginSession(srcRaster);
for (int i = 0; i < prjEnvelopes.Length; i++)
{
try
{
GeoDo.RasterProject.PrjEnvelope prjEnvelope = prjEnvelopes[i];
FY3_MERSI_PrjSettings prjSetting = new FY3_MERSI_PrjSettings();
prjSetting.OutPathAndFileName = GetOutPutFile(file, i);
prjSetting.OutEnvelope = prjEnvelope;// GeoDo.RasterProject.PrjEnvelope.CreateByCenter(90, 26, 10, 10);
prjSetting.OutResolutionX = 0.0025F;
prjSetting.OutResolutionY = 0.0025F;
ISpatialReference dstSpatialRef = GetOutSpatialRef();
proj.Project(srcRaster, prjSetting, dstSpatialRef, _progressCallback);
stopwatch.Stop();
WriteLine("数据投影{0}ms", stopwatch.ElapsedMilliseconds);
//MessageBox.Show("投影输出文件" + prjSetting.OutPathAndFileName);
}
catch (Exception ex)
{
this.Text = ex.Message;
}
}
proj.EndSession();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
finally
{
if (srcRaster != null)
{
if (srcRaster.BandProvider != null)
{
srcRaster.BandProvider.Dispose();
}
srcRaster.Dispose();
}
GC.Collect();
}
}
public static bool HasValidEnvelope(double[] srcXs, double[] srcYs, PrjEnvelope validEnv, out double validRate, out PrjEnvelope outEnv)
{
if (validEnv == null || validEnv.IsEmpty)
{
throw new ArgumentNullException("validEnv", "参数[有效范围]不能为空");
}
bool hasValid = false;
double MaxX = validEnv.MaxX;
double MinX = validEnv.MinX;
double MaxY = validEnv.MaxY;
double MinY = validEnv.MinY;
double curMinX = srcXs[0];
double curMaxX = srcXs[0];
double curMinY = srcYs[0];
double curMaxY = srcYs[0];
int length = srcXs.Length;
for (int i = 0; i < length; i++)
{
if (srcXs[i] < MinX || srcXs[i] > MaxX || srcYs[i] < MinY || srcYs[i] > MaxY) //当前坐标点不在指定有效范围
{
continue;
}
curMinX = srcXs[i];
curMaxX = srcXs[i];
curMinY = srcYs[i];
curMaxY = srcYs[i];
hasValid = true;
break;
}
if (!hasValid)
{
validRate = 0;
outEnv = null;
return(false);
}
int validCount = 0;
unsafe
{
fixed(double *xP = srcXs, yP = srcYs)
{
double *px = xP;
double *py = yP;
for (int i = 0; i < length; i++, px++, py++)
{
if (*px < MinX || *px > MaxX || *py < MinY || *py > MaxY)
{
continue;
}
validCount++;
if (curMaxX < *px)
{
curMaxX = *px;
}
else if (curMinX > *px)
{
curMinX = *px;
}
if (curMaxY < *py)
{
curMaxY = *py;
}
else if (curMinY > *py)
{
curMinY = *py;
}
}
}
}
validRate = validCount * 1.0 / length;
outEnv = new PrjEnvelope(curMinX, curMaxX, curMinY, curMaxY);
return(true);
}
public static PrjEnvelope GetEnvelope(double[] srcXs, double[] srcYs, PrjEnvelope validEnvelope)
{
double MaxX = double.MaxValue;
double MinX = double.MinValue;
double MaxY = double.MaxValue;
double MinY = double.MinValue;
if (validEnvelope != null)
{
MaxX = validEnvelope.MaxX;
MinX = validEnvelope.MinX;
MaxY = validEnvelope.MaxY;
MinY = validEnvelope.MinY;
}
int length = srcXs.Length;
double curMinX = MinX;
double curMaxX = MaxX;
double curMinY = MinY;
double curMaxY = MaxY;
//设置初始值
for (int i = 0; i < length; i++)
{
if (srcXs[i] < MinX || srcXs[i] > MaxX || srcYs[i] < MinY || srcYs[i] > MaxY)
{
continue;
}
curMinX = srcXs[i];
curMaxX = srcXs[i];
curMinY = srcYs[i];
curMaxY = srcYs[i];
break;
}
//开始遍历并计算最大最小值
unsafe
{
fixed(double *xP = srcXs, yP = srcYs)
{
double *px = xP;
double *py = yP;
for (int i = 0; i < length; i++, px++, py++)
{
//if (Math.Abs(*px - (-90d)) < 0.0000001)
// Console.WriteLine(*px + "索引" + i);
if (*px < MinX || *px > MaxX || *py < MinY || *py > MaxY)
{
continue;
}
if (curMaxX < *px)
{
curMaxX = *px;
}
else if (curMinX > *px)
{
curMinX = *px;
}
if (curMaxY < *py)
{
curMaxY = *py;
}
else if (curMinY > *py)
{
curMinY = *py;
}
}
}
}
PrjEnvelope dstEnvelope = new PrjEnvelope(curMinX, curMaxX, curMinY, curMaxY);
return(dstEnvelope);
}
