/// <summary>
/// Brovey变换融合。融合前会将多光谱数据集的每一波段与全色数据集做直方图匹配。
/// </summary>
/// <param name="PanDS">全色数据集。</param>
/// <param name="MSDS">多光谱数据集</param>
/// <param name="PanCumu">全色数据集的累积概率表。</param>
/// <param name="MSCumu">多光谱数据集的累积概率表。</param>
/// <param name="MSBandList">多光谱数据集的波段组合。</param>
/// <param name="OutDataType">输出数据类型。</param>
/// <param name="OutPath">输出路径。</param>
/// <returns>返回操作成功或失败。</returns>
public static bool Brovey(OSGeo.GDAL.Dataset PanDS, OSGeo.GDAL.Dataset MSDS, double[][] PanCumu, double[][] MSCumu, int[] MSBandList, OSGeo.GDAL.DataType OutDataType, string OutPath)
{
try
{
if (PanDS == null)
{
throw new ArgumentNullException("输入的全色数据集为空。");
}
if (PanDS.RasterCount > 1)
{
throw new RankException("全色数据集波段大于1。");
}
if (MSDS == null)
{
throw new ArgumentNullException("输入的多光谱数据集为空。");
}
if (String.IsNullOrWhiteSpace(OutPath.Trim()))
{
throw new ArgumentNullException("输出路径为空或非法。");
}
OSGeo.GDAL.Driver Dri = OSGeo.GDAL.Gdal.GetDriverByName("Gtiff");
if (Dri == null)
{
throw new Exception("无法获取GDAL Driver。");
}
int panWidth = PanDS.RasterXSize;
int panHeight = PanDS.RasterYSize;
int msWidth = MSDS.RasterXSize;
int msHeight = MSDS.RasterYSize;
//int rat = (int)Math.Ceiling((double)panHeight / msHeight);
if (panWidth < msWidth)
{
throw new RankException("全色数据集宽度小于多光谱数据集宽度。");
}
if (panHeight < msHeight)
{
throw new RankException("全色数据集高度小于多光谱数据集高度。");
}
//if (rat <= 0)
// throw new ArgumentOutOfRangeException("全色高度：多光谱高度小于1。");
FrmProgress FP = new FrmProgress()
{
Text = "正在进行Brovey融合...",
};
Thread t = new Thread(() =>
{
FP.ShowDialog();
});
t.SetApartmentState(ApartmentState.STA);
t.Start();
#region 预处理
//创建临时文件，进行直方图匹配。
string HisMatFileName = Tools.Common.GetTempFileName();
OSGeo.GDAL.Dataset MatchingDS = Dri.CreateCopy(HisMatFileName, MSDS, 0, null, null, null);
FP.Output("已创建直方图匹配临时文件\"" + HisMatFileName + "\"");
for (int band = 1; band <= MSDS.RasterCount; band++)
{
FP.Output("正在进行直方图匹配(" + band.ToString() + "/" + MSDS.RasterCount.ToString() + ")...");
Band b = Tools.BaseProcess.HistogramMatching(MSDS.GetRasterBand(band), PanDS.GetRasterBand(1), MSCumu[band - 1], PanCumu[0], OutDataType);
if (b == null)
{
throw new ArgumentNullException("直方图匹配返回波段为空。");
}
for (int row = 0; row < b.YSize; row++)
{
double[] tmp = new double[b.XSize];
b.ReadRaster(0, row, b.XSize, 1, tmp, b.XSize, 1, 0, 0);
MatchingDS.GetRasterBand(band).WriteRaster(0, row, MatchingDS.GetRasterBand(band).XSize, 1, tmp, MatchingDS.GetRasterBand(band).XSize, 1, 0, 0);
MatchingDS.FlushCache();
Thread.Sleep(1);
}
}
//创建临时文件，进行重采样。
double[] resamptmp;
string ResampFileName = Tools.Common.GetTempFileName();
OSGeo.GDAL.Dataset ResampDS = Dri.Create(ResampFileName, panWidth, panHeight, 3, MSDS.GetRasterBand(1).DataType, null);
FP.Output("已创建重采样临时文件\"" + ResampFileName + "\"");
//Tools.Common.CopyMetadata(PanDS, tmpDS);
//Gdal.ReprojectImage(MSDS, tmpDS, null, null, 0, 0, 0, null, null);
//将直方图匹配后的图像重采样。
for (int i = 0; i < 3; i++)
{
FP.Output("正在对直方图匹配后影像进行重采样(" + (i + 1).ToString() + "/" + "3)...");
resamptmp = new double[panWidth * panHeight];
MatchingDS.GetRasterBand(MSBandList[i]).ReadRaster(0, 0, msWidth, msHeight, resamptmp, panWidth, panHeight, 0, 0);
ResampDS.GetRasterBand(i + 1).WriteRaster(0, 0, panWidth, panHeight, resamptmp, panWidth, panHeight, 0, 0);
ResampDS.FlushCache();
Thread.Sleep(1);
if (FP.Canceled)
{
Thread.Sleep(500);
FP.Finish();
throw new OperationCanceledException("操作被用户取消。");
}
}
//释放直方图匹配图像资源。
MatchingDS.Dispose();
if (File.Exists(HisMatFileName))
{
File.Delete(HisMatFileName);
}
FP.Output("已删除直方图匹配临时文件");
#endregion
//创建输出数据集。
OSGeo.GDAL.Dataset DS = Dri.Create(OutPath, panWidth, panHeight, 3, OutDataType, null);
FP.Output("已创建输出数据集\"" + OutPath + "\"，数据类型为" + OutDataType.ToString() + "。");
Tools.Common.CopyMetadata(PanDS, DS);
double[] p;
double[][] ms;
double[] ds;
for (int row = 0; row < panHeight; row++)
{
FP.SetProgress2("正在处理", row + 1, panHeight, "行");
//将全色波段行读取进数组。
p = new double[panWidth];
PanDS.GetRasterBand(1).ReadRaster(0, row, panWidth, 1, p, panWidth, 1, 0, 0);
//将重采样后的多光谱行读取进数组。
ms = new double[3][];
ms[0] = new double[panWidth];
ms[1] = new double[panWidth];
ms[2] = new double[panWidth];
ResampDS.GetRasterBand(1).ReadRaster(0, row, panWidth, 1, ms[0], panWidth, 1, 0, 0);
ResampDS.GetRasterBand(2).ReadRaster(0, row, panWidth, 1, ms[1], panWidth, 1, 0, 0);
ResampDS.GetRasterBand(3).ReadRaster(0, row, panWidth, 1, ms[2], panWidth, 1, 0, 0);
//遍历三波段
for (int bandcount = 0; bandcount < 3; bandcount++)
{
FP.SetProgress1("正在处理", bandcount + 1, 3, "波段");
ds = new double[panWidth]; //临时数组
for (long i = 0; i < panWidth; i++)
{
ds[i] = p[i] * ms[bandcount][i] / (ms[0][i] + ms[1][i] + ms[2][i]); //Brovey公式
}
DS.GetRasterBand(bandcount + 1).WriteRaster(0, row, panWidth, 1, ds, panWidth, 1, 0, 0); //计算完后的数据写入
DS.FlushCache();
}
Thread.Sleep(1);
if (FP.Canceled)
{
Thread.Sleep(500);
FP.Finish();
throw new OperationCanceledException("操作被用户取消。");
}
}
//释放重采样图像资源。
ResampDS.Dispose();
if (File.Exists(ResampFileName))
{
File.Delete(ResampFileName);
}
FP.Output("已删除重采样临时文件");
/*一次性读取一时爽，遇到大文件爆内存。
* 一次性读取一时爽，遇到大文件爆内存。
* 一次性读取一时爽，遇到大文件爆内存。*/
//p = new double[panWidth * panHeight];
//ms = new double[3][];
//ms[0] = new double[panWidth * panHeight];
//ms[1] = new double[panWidth * panHeight];
//ms[2] = new double[panWidth * panHeight];
//PanDS.GetRasterBand(1).ReadRaster(0, 0, panWidth, panHeight, p, panWidth, panHeight, 0, 0);
//MSDS.GetRasterBand(MSBandList[0]).ReadRaster(0, 0, msWidth, msHeight, ms[0], panWidth, panHeight, 0, 0);
//MSDS.GetRasterBand(MSBandList[1]).ReadRaster(0, 0, msWidth, msHeight, ms[1], panWidth, panHeight, 0, 0);
//MSDS.GetRasterBand(MSBandList[2]).ReadRaster(0, 0, msWidth, msHeight, ms[2], panWidth, panHeight, 0, 0);
//for (int bandcount = 0; bandcount < 3; bandcount++)
//{
// ds = new double[panWidth * panHeight];
// for (int row = 0; row < panHeight; row++)
// {
// for (int col = 0; col < panWidth; col++)
// {
// ds[row * panWidth + col] = p[row * panWidth + col] * ms[bandcount][row * panWidth + col] / (ms[0][row * panWidth + col] + ms[1][row * panWidth + col] + ms[2][row * panWidth + col]);
// }
// }
// DS.GetRasterBand(bandcount + 1).WriteRaster(0, 0, panWidth, panHeight, ds, panWidth, panHeight, 0, 0);
// DS.FlushCache();
//}
FP.Finish();
Dri.Dispose();
DS.Dispose();
return(true);
}
catch (Exception err)
{
MessageBox.Show(err.ToString());
return(false);
}
}
/// <summary>
/// IHS融合。融合前会将全色数据集与多光谱数据集转换到IHS空间下的I波段做直方图匹配。
/// </summary>
/// <param name="PanDS">全色数据集。</param>
/// <param name="MSDS">多光谱数据集</param>
/// <param name="PanCumu">全色数据集的累积概率表。</param>
/// <param name="MSCumu">多光谱数据集的累积概率表。</param>
/// <param name="MSBandList">多光谱数据集的波段组合。</param>
/// <param name="OutDataType">输出数据类型。</param>
/// <param name="OutPath">输出路径。</param>
/// <returns>返回操作成功或失败。</returns>
public static bool IHSFusion(OSGeo.GDAL.Dataset PanDS, OSGeo.GDAL.Dataset MSDS, double[][] PanCumu, double[][] MSCumu, int[] MSBandList, OSGeo.GDAL.DataType OutDataType, string OutPath)
{
try
{
if (PanDS == null)
{
throw new ArgumentNullException("输入的全色数据集为空。");
}
if (PanDS.RasterCount > 1)
{
throw new RankException("全色数据集波段大于1。");
}
if (MSDS == null)
{
throw new ArgumentNullException("输入的多光谱数据集为空。");
}
if (String.IsNullOrWhiteSpace(OutPath.Trim()))
{
throw new ArgumentNullException("输出路径为空或非法。");
}
OSGeo.GDAL.Driver Dri = OSGeo.GDAL.Gdal.GetDriverByName("Gtiff");
if (Dri == null)
{
throw new Exception("无法获取GDAL Driver。");
}
int panWidth = PanDS.RasterXSize;
int panHeight = PanDS.RasterYSize;
int msWidth = MSDS.RasterXSize;
int msHeight = MSDS.RasterYSize;
if (panWidth < msWidth)
{
throw new RankException("全色数据集宽度小于多光谱数据集宽度。");
}
if (panHeight < msHeight)
{
throw new RankException("全色数据集高度小于多光谱数据集高度。");
}
FrmProgress FP = new FrmProgress()
{
Text = "正在进行IHS融合...",
};
Thread t = new Thread(() =>
{
FP.ShowDialog();
});
t.SetApartmentState(ApartmentState.STA);
t.Start();
#region 预处理
//创建临时文件，进行重采样。
double[] resamptmp;
string ResampFileName = Tools.Common.GetTempFileName();
OSGeo.GDAL.Dataset ResampDS = Dri.Create(ResampFileName, panWidth, panHeight, MSDS.RasterCount, MSDS.GetRasterBand(1).DataType, null);
FP.Output("已创建重采样临时文件\"" + ResampFileName + "\"");
//将多光谱影像重采样。
for (int i = 0; i < 3; i++)
{
FP.Output("正在进行重采样(" + (i + 1).ToString() + "/" + "3)...");
resamptmp = new double[panWidth * panHeight];
MSDS.GetRasterBand(MSBandList[i]).ReadRaster(0, 0, msWidth, msHeight, resamptmp, panWidth, panHeight, 0, 0);
ResampDS.GetRasterBand(i + 1).WriteRaster(0, 0, panWidth, panHeight, resamptmp, panWidth, panHeight, 0, 0);
ResampDS.FlushCache();
Thread.Sleep(1);
if (FP.Canceled)
{
Thread.Sleep(500);
FP.Finish();
throw new OperationCanceledException("操作被用户取消。");
}
}
double[] BandMax = new double[3];
double[] BandMin = new double[3];
for (int i = 0; i < 3; i++)
{
FP.Output("正在计算重采样影像统计数据(" + (i + 1).ToString() + "/" + "3)...");
Common.ComputeRasterMinMax(ResampDS.GetRasterBand(i + 1), out BandMin[i], out BandMax[i]);
}
#endregion
//多光谱RGB转IHS。
string MSIHSFileName = Tools.Common.GetTempFileName();
OSGeo.GDAL.Dataset MSIHSDS = Dri.Create(MSIHSFileName, panWidth, panHeight, 3, OSGeo.GDAL.DataType.GDT_Float32, null);
FP.Output("已创建IHS临时文件\"" + MSIHSFileName + "\"");
//按行读入，进行拉伸后再IHS转换，写入。
for (int row = 0; row < panHeight; row++)
{
FP.SetProgress1("正在处理IHS临时文件(", row + 1, panHeight, ")");
double[] iArr = new double[panWidth];
double[] hArr = new double[panWidth];
double[] sArr = new double[panWidth];
double[][] MSRGBArr = new double[3][];
MSRGBArr[0] = new double[panWidth];
MSRGBArr[1] = new double[panWidth];
MSRGBArr[2] = new double[panWidth];
//读。
ResampDS.GetRasterBand(1).ReadRaster(0, row, panWidth, 1, MSRGBArr[0], panWidth, 1, 0, 0);
ResampDS.GetRasterBand(2).ReadRaster(0, row, panWidth, 1, MSRGBArr[1], panWidth, 1, 0, 0);
ResampDS.GetRasterBand(3).ReadRaster(0, row, panWidth, 1, MSRGBArr[2], panWidth, 1, 0, 0);
//按行逐像元转IHS。
for (long i = 0; i < panWidth; i++)
{
double[] tmp = Common.RGB2IHS(
new double[3] {
Common.LinearStretchDouble(MSRGBArr[0][i], BandMin[0], BandMax[0]),
Common.LinearStretchDouble(MSRGBArr[1][i], BandMin[1], BandMax[1]),
Common.LinearStretchDouble(MSRGBArr[2][i], BandMin[2], BandMax[2])
});
iArr[i] = tmp[0]; hArr[i] = tmp[1]; sArr[i] = tmp[2];
}
//写。
MSIHSDS.GetRasterBand(1).WriteRaster(0, row, panWidth, 1, iArr, panWidth, 1, 0, 0);
MSIHSDS.GetRasterBand(2).WriteRaster(0, row, panWidth, 1, hArr, panWidth, 1, 0, 0);
MSIHSDS.GetRasterBand(3).WriteRaster(0, row, panWidth, 1, sArr, panWidth, 1, 0, 0);
MSIHSDS.FlushCache();
Thread.Sleep(1);
if (FP.Canceled)
{
Thread.Sleep(500);
FP.Finish();
throw new OperationCanceledException("操作被用户取消。");
}
}
//释放重采样数据集资源。
ResampDS.Dispose();
if (File.Exists(ResampFileName))
{
File.Delete(ResampFileName);
}
FP.Output("已删除重采样临时文件");
//全色匹配多光谱I
FP.Output("正在计算IHS统计数据...");
Common.GetStatistics(MSIHSDS.GetRasterBand(1), out double Imin, out double Imax, out double Imean, out double Istddev); //多光谱统计信息。
int[] IHis = new int[(int)(Imax - Imin) + 1];
MSIHSDS.GetRasterBand(1).GetHistogram(Imin, Imax, (int)(Imax - Imin) + 1, IHis, 1, 0, null, null);
double[] ICumu = new double[IHis.Length];
for (int i = 0; i < IHis.Length; i++)
{
ICumu[i] = (double)IHis[i] / (MSIHSDS.RasterXSize * MSIHSDS.RasterYSize);
if (i > 0)
{
ICumu[i] += ICumu[i - 1]; //累积概率
}
}
FP.Output("正在进行I波段直方图匹配...");
Band PanMatIBand = Tools.BaseProcess.HistogramMatching(PanDS.GetRasterBand(1), MSIHSDS.GetRasterBand(1), PanCumu[0], ICumu, OSGeo.GDAL.DataType.GDT_Float32);
if (PanMatIBand == null)
{
throw new ArgumentNullException("直方图匹配返回波段为空。");
}
//全色融合。
//创建输出数据集。
OSGeo.GDAL.Dataset DS = Dri.Create(OutPath, panWidth, panHeight, 3, OutDataType, null);
FP.Output("已创建输出数据集\"" + OutPath + "\"，数据类型为" + OutDataType.ToString() + "。");
Tools.Common.CopyMetadata(PanDS, DS);
for (int row = 0; row < panHeight; row++)
{
FP.SetProgress1("正在融合(", row + 1, panHeight, ")");
//读取匹配多光谱I后的全色波段。
double[] Itmp = new double[panWidth];
PanMatIBand.ReadRaster(0, row, panWidth, 1, Itmp, panWidth, 1, 0, 0);
//读入IHS变换后的多光谱影像的H、S波段。
double[] Htmp = new double[panWidth];
double[] Stmp = new double[panWidth];
MSIHSDS.GetRasterBand(2).ReadRaster(0, row, panWidth, 1, Htmp, panWidth, 1, 0, 0);
MSIHSDS.GetRasterBand(3).ReadRaster(0, row, panWidth, 1, Stmp, panWidth, 1, 0, 0);
double[] Rtmp = new double[panWidth];
double[] Gtmp = new double[panWidth];
double[] Btmp = new double[panWidth];
for (long i = 0; i < panWidth; i++)
{
double[] tmp = Common.IHS2RGB(new double[3] {
Itmp[i], Htmp[i], Stmp[i]
});
Rtmp[i] = tmp[0]; Gtmp[i] = tmp[1]; Btmp[i] = tmp[2];
}
DS.GetRasterBand(1).WriteRaster(0, row, panWidth, 1, Rtmp, panWidth, 1, 0, 0);
DS.GetRasterBand(2).WriteRaster(0, row, panWidth, 1, Gtmp, panWidth, 1, 0, 0);
DS.GetRasterBand(3).WriteRaster(0, row, panWidth, 1, Btmp, panWidth, 1, 0, 0);
DS.FlushCache();
Thread.Sleep(1);
if (FP.Canceled)
{
Thread.Sleep(500);
FP.Finish();
throw new OperationCanceledException("操作被用户取消。");
}
}
//释放IHS图像资源。
MSIHSDS.Dispose();
PanMatIBand.Dispose();
if (File.Exists(MSIHSFileName))
{
File.Delete(MSIHSFileName);
}
FP.Output("已删除IHS临时文件");
FP.Finish();
Dri.Dispose();
DS.Dispose();
return(true);
}
catch (Exception err)
{
MessageBox.Show(err.ToString());
return(false);
}
}
/// <summary>
/// 导出当前视图。
/// </summary>
/// <param name="InputImg">影像对象。</param>
/// <param name="OutDataType">输出数据类型。</param>
/// <param name="OutPath">输出路径。</param>
/// <returns>返回操作成功或失败。</returns>
public static bool ExportView(Img InputImg, OSGeo.GDAL.DataType OutDataType, string OutPath)
{
try
{
if (OutPath == InputImg.Path)
{
throw new Exception("输出路径与源文件相同。");
}
if (InputImg.GDALDataset == null)
{
throw new ArgumentNullException("输入数据集为空。");
}
if (String.IsNullOrWhiteSpace(OutPath.Trim()))
{
throw new ArgumentNullException("输出路径为空或非法。");
}
OSGeo.GDAL.Driver Dri = OSGeo.GDAL.Gdal.GetDriverByName("Gtiff");
if (Dri == null)
{
throw new Exception("无法获取GDAL Driver。");
}
int xSize = InputImg.Width;
int ySize = InputImg.Height;
int Bandnum = 3;
if (InputImg.IsGrayscale)
{
Bandnum = 1;
}
else
{
Bandnum = 3;
}
FrmProgress FP = new FrmProgress()
{
Text = "正在导出影像...",
};
Thread t = new Thread(() =>
{
FP.ShowDialog();
});
t.SetApartmentState(ApartmentState.STA);
t.Start();
OSGeo.GDAL.Dataset DS = Dri.Create(OutPath, xSize, ySize, Bandnum, OutDataType, null);
FP.Output("已创建输出数据集\"" + OutPath + "\"，数据类型为" + OutDataType.ToString() + "。");
Tools.Common.CopyMetadata(InputImg.GDALDataset, DS);
for (int i = 0; i < Bandnum; i++) //遍历每个波段
{
FP.SetProgress2("正在处理", i + 1, Bandnum, "波段");
for (int Row = 0; Row < ySize; Row++) //遍历每一行(y)
{
FP.SetProgress1("正在处理", Row + 1, ySize, "行");
double[] Values = new double[xSize];
//读取DN到数组
InputImg.GDALDataset.GetRasterBand(InputImg.BandList[i]).ReadRaster(0, Row, xSize, 1, Values, xSize, 1, 0, 0);
for (int Col = 0; Col < xSize; Col++) //对每一个值进行计算
{
//无拉伸不做处理直接导出
if (InputImg.StretchMode == 0)
{
break;
}
//已经有处理的情形
switch (InputImg.StretchMode)
{
case 1:
case 2:
case 3:
case 4:
case 9:
{
//线性
Values[Col] = LinearStretch(Values[Col], InputImg.StretchInfo[InputImg.BandList[i] - 1].Item1, InputImg.StretchInfo[InputImg.BandList[i] - 1].Item2);
break;
}
case 5:
{
//直方图均衡
Values[Col] = EqualizationStretch(Values[Col], InputImg.CumulativeProbability[InputImg.BandList[i] - 1], InputImg.Min[InputImg.BandList[i] - 1], InputImg.Max[InputImg.BandList[i] - 1]);
break;
}
case 6:
{
//高斯
Values[Col] = GaussianStretch(Values[Col], InputImg.CumulativeProbability[InputImg.BandList[i] - 1], InputImg.Min[InputImg.BandList[i] - 1], InputImg.Mean[InputImg.BandList[i] - 1], InputImg.Stddev[InputImg.BandList[i] - 1]);
break;
}
case 7:
{
//平方根
Values[Col] = SquarerootStretch(Values[Col], InputImg.Min[InputImg.BandList[i] - 1], InputImg.Max[InputImg.BandList[i] - 1]);
break;
}
case 8:
{
//对数
Values[Col] = LinearStretch(LogarithmicStretch(Values[Col], InputImg.Min[InputImg.BandList[i] - 1], InputImg.Max[InputImg.BandList[i] - 1]), InputImg.Min[InputImg.BandList[i] - 1], InputImg.Max[InputImg.BandList[i] - 1]);
break;
}
default:
{
//不是0-9还能是啥？
throw new Exception("拉伸模式未知。");
}
}
}
//写结果到新栅格
DS.GetRasterBand(i + 1).WriteRaster(0, Row, xSize, 1, Values, xSize, 1, 0, 0);
DS.FlushCache();
Thread.Sleep(1);
if (FP.Canceled)
{
Thread.Sleep(500);
FP.Finish();
throw new OperationCanceledException("操作被用户取消。");
}
}
}
FP.Finish();
Dri.Dispose();
DS.Dispose();
return(true);
}
catch (Exception err)
{
MessageBox.Show(err.Message);
return(false);
}
}
/// <summary>
/// RGB转灰度显示。
/// </summary>
/// <param name="InputImg">影像对象。</param>
/// <param name="RGBWeight">RGB权重数组，长度为3。</param>
/// <param name="OutDataType">输出数据类型。</param>
/// <param name="OutPath">输出路径。</param>
/// <returns>返回操作成功或失败。</returns>
public static bool RGB2GrayScale(Img InputImg, double[] RGBWeight, OSGeo.GDAL.DataType OutDataType, string OutPath)
{
try
{
if (OutPath == InputImg.Path)
{
throw new Exception("输出路径与源文件相同。");
}
if (InputImg.GDALDataset == null)
{
throw new ArgumentNullException("输入数据集为空。");
}
if (String.IsNullOrWhiteSpace(OutPath.Trim()))
{
throw new ArgumentNullException("输出路径为空或非法。");
}
if (RGBWeight.Length != 3)
{
throw new ArgumentException("权重数组长度无效，应为3。");
}
if (Math.Abs(RGBWeight[0] + RGBWeight[1] + RGBWeight[2] - 1) > 1E-7)
{
throw new ArgumentOutOfRangeException("RGB分量权重设置错误。总和应为1。");
}
OSGeo.GDAL.Driver Dri = OSGeo.GDAL.Gdal.GetDriverByName("Gtiff");
if (Dri == null)
{
throw new Exception("无法获取GDAL Driver。");
}
int xSize = InputImg.Width;
int ySize = InputImg.Height;
FrmProgress FP = new FrmProgress()
{
Text = "正在导出灰度影像...",
};
Thread t = new Thread(() =>
{
FP.ShowDialog();
});
t.SetApartmentState(ApartmentState.STA);
t.Start();
OSGeo.GDAL.Dataset DS = Dri.Create(OutPath, xSize, ySize, 1, OutDataType, null);
FP.Output("已创建输出数据集\"" + OutPath + "\"，数据类型为" + OutDataType.ToString() + "。");
Tools.Common.CopyMetadata(InputImg.GDALDataset, DS);
for (int Row = 0; Row < ySize; Row++)
{
FP.SetProgress1("正在处理", Row + 1, ySize, "行");
double[] RValues = new double[xSize];
double[] GValues = new double[xSize];
double[] BValues = new double[xSize];
double[] GrayValues = new double[xSize];
InputImg.GDALDataset.GetRasterBand(InputImg.BandList[0]).ReadRaster(0, Row, xSize, 1, RValues, xSize, 1, 0, 0);
InputImg.GDALDataset.GetRasterBand(InputImg.BandList[1]).ReadRaster(0, Row, xSize, 1, GValues, xSize, 1, 0, 0);
InputImg.GDALDataset.GetRasterBand(InputImg.BandList[2]).ReadRaster(0, Row, xSize, 1, BValues, xSize, 1, 0, 0);
for (int Col = 0; Col < xSize; Col++)
{
//拉伸到0~255后再加权计算。
RValues[Col] = LinearStretch(RValues[Col], InputImg.Min[InputImg.BandList[0] - 1], InputImg.Max[InputImg.BandList[0] - 1]);
GValues[Col] = LinearStretch(GValues[Col], InputImg.Min[InputImg.BandList[1] - 1], InputImg.Max[InputImg.BandList[1] - 1]);
BValues[Col] = LinearStretch(BValues[Col], InputImg.Min[InputImg.BandList[2] - 1], InputImg.Max[InputImg.BandList[2] - 1]);
GrayValues[Col] = RGBWeight[0] * RValues[Col] + RGBWeight[1] * GValues[Col] + RGBWeight[2] * BValues[Col];
}
//写结果到新栅格
DS.GetRasterBand(1).WriteRaster(0, Row, xSize, 1, GrayValues, xSize, 1, 0, 0);
DS.FlushCache();
}
FP.Finish();
Dri.Dispose();
DS.Dispose();
return(true);
}
catch (Exception err)
{
MessageBox.Show(err.Message);
return(false);
}
}
private static void ReadRasterBlocks(ref Dataset valueRaster, ref Dataset zoneRaster)
{
_rasInfoDict = new Dictionary<int, StatisticsInfo>[valueRaster.RasterCount];
int valueRasterBandCount = valueRaster.RasterCount;
int rasterRows = zoneRaster.RasterYSize;
int rasterCols = zoneRaster.RasterXSize;
const int blockSize = AppUtils.GdalUtilConstants.RasterBlockSize;
for (int rasBand = 0; rasBand < valueRasterBandCount; rasBand++)
{
Band bandValueRaster = valueRaster.GetRasterBand(rasBand + 1);
Band bandZoneRaster = zoneRaster.GetRasterBand(1);
_rasInfoDict[rasBand] = new Dictionary<int, StatisticsInfo>();
for (int row = 0; row < rasterRows; row += blockSize)
{
int rowProcess;
if (row + blockSize < rasterRows)
{
rowProcess = blockSize;
}
else
{
rowProcess = rasterRows - row;
}
for (int col = 0; col < rasterCols; col += blockSize)
{
int colProcess;
if (col + blockSize < rasterCols)
{
colProcess = blockSize;
}
else
{
colProcess = rasterCols - col;
}
double[] valueRasterValues = new double[rowProcess * colProcess];
double[] zoneRasterValues = new double[rowProcess * colProcess];
bandValueRaster.ReadRaster(col, row, colProcess, rowProcess, valueRasterValues, colProcess, rowProcess, 0, 0);
bandZoneRaster.ReadRaster(col, row, colProcess, rowProcess, zoneRasterValues, colProcess, rowProcess, 0, 0);
ProcessEachRasterBlock(valueRasterValues, zoneRasterValues, rasBand, ref _rasInfoDict);
}
}
}
//flush rasters cache
valueRaster.FlushCache();
zoneRaster.FlushCache();
valueRaster.Dispose();
zoneRaster.Dispose();
StatisticsExport writer = new StatisticsExport(_zoneFile);
writer.ExportZonalStatistics(ref _rasInfoDict, _cellSize);
}