/// <summary>
/// 获取当前栅格图层中城市用地类型栅格的数量。区分栅格图层是否有属性表两种情况。
/// </summary>
/// <param name="rasterLayer"></param>
/// <param name="landUseClassificationInfo"></param>
/// <returns></returns>
public static int GetUrbanCount(IRasterLayer rasterLayer, LandUseClassificationInfo landUseClassificationInfo)
{
int urbanConuts = 0;
IRasterBandCollection rbc = rasterLayer.Raster as IRasterBandCollection;
IRasterBand rb = rbc.Item(0);
//ITable table = rbc.Item(0).AttributeTable;
//AttributeTable - OID, Value, Count
ITable attributeTable = rb.AttributeTable;
if (attributeTable != null)
{
int count = attributeTable.RowCount(null);
int[] values = new int[count];
int[] counts = new int[count];
ICursor cursor = attributeTable.Search(null, false);
IRow row = cursor.NextRow();
int index = 0;
//数据不一定有OBJECTID字段。同时列名称及顺序不一定符合条件Value,Count。
while (row != null)
{
values[index] = Convert.ToInt32(row.get_Value(GetColumnIndex(attributeTable, "VALUE")));
counts[index] = Convert.ToInt32(row.get_Value(GetColumnIndex(attributeTable, "COUNT")));
row = cursor.NextRow();
index++;
}
for (int j = 0; j < count; j++)
{
for (int i = 0; i < landUseClassificationInfo.UrbanValues.Count; i++)
{
if (Convert.ToSingle(values[j]) == landUseClassificationInfo.UrbanValues[i].LanduseTypeValue)
{
urbanConuts += Convert.ToInt32(counts[j]);
}
}
}
}
else
{
rb.ComputeStatsAndHist();
IRasterHistogram rh = rb.Histogram;
object rhCount = rh.Counts;
double[] counts = (double[])rhCount;
IRasterUniqueValueRenderer rasterUniqueValueRenderer = (IRasterUniqueValueRenderer)rasterLayer.Renderer;
IRasterRendererUniqueValues rasterRendererUniqueValues = (IRasterRendererUniqueValues)rasterUniqueValueRenderer;
IUniqueValues uniqueValues = rasterRendererUniqueValues.UniqueValues;
for (int j = 0; j < uniqueValues.Count; j++)
{
for (int i = 0; i < landUseClassificationInfo.UrbanValues.Count; i++)
{
if (Convert.ToSingle(uniqueValues.get_UniqueValue(j)) == landUseClassificationInfo.UrbanValues[i].LanduseTypeValue)
{
urbanConuts += Convert.ToInt32(counts[j + 1]);
}
}
}
}
return(urbanConuts);
}
/// <summary>
/// 获取当前栅格图层中各种用地类型栅格的数量。区分栅格图层是否有属性表两种情况。
/// </summary>
/// <param name="rasterLayer"></param>
/// <returns></returns>
public static int[] GetLandUseTypesCount(IRasterLayer rasterLayer)
{
int[] landusetypesCounts;
IRasterBandCollection rbc = rasterLayer.Raster as IRasterBandCollection;
IRasterBand rb = rbc.Item(0);
ITable attributeTable = rb.AttributeTable;
if (attributeTable != null)
{
int count = attributeTable.RowCount(null);
int[] values = new int[count];
landusetypesCounts = new int[count];
ICursor cursor = attributeTable.Search(null, false);
IRow row = cursor.NextRow();
int index = 0;
//数据不一定有OBJECTID字段。同时列名称及顺序不一定符合条件Value,Count。
while (row != null)
{
values[index] = Convert.ToInt32(row.get_Value(GetColumnIndex(attributeTable, "VALUE")));
landusetypesCounts[index] = Convert.ToInt32(row.get_Value(GetColumnIndex(attributeTable, "COUNT")));
row = cursor.NextRow();
index++;
}
}
else
{
rb.ComputeStatsAndHist();
IRasterHistogram rh = rb.Histogram;
object rhCount = rh.Counts;
double[] counts = (double[])rhCount;
landusetypesCounts = new int[counts.Length];
IRasterUniqueValueRenderer rasterUniqueValueRenderer = (IRasterUniqueValueRenderer)rasterLayer.Renderer;
IRasterRendererUniqueValues rasterRendererUniqueValues = (IRasterRendererUniqueValues)rasterUniqueValueRenderer;
IUniqueValues uniqueValues = rasterRendererUniqueValues.UniqueValues;
for (int j = 0; j < uniqueValues.Count; j++)
{
landusetypesCounts[j] = Convert.ToInt32(counts[j]);
}
}
return(landusetypesCounts);
}
//public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp,double minValue)
//{
// IRasterBand band = GetBand(rastlayer);
// if (band.Histogram == null)
// {
// band.ComputeStatsAndHist();
// }
// IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
// IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
// rasRender.Raster = rastlayer.Raster;
// rasRender.Update();
// int numClasses = count;
// IRasterHistogram pRasterHistogram = band.Histogram;
// double[] dblValues = pRasterHistogram.Counts as double[];
// int intValueCount = dblValues.GetUpperBound(0) + 1;
// double[] vValues = new double[intValueCount];
// IRasterStatistics pRasterStatistic = band.Statistics;
// //double dMaxValue = pRasterStatistic.Maximum;
// double dMaxValue = minValue;
// double dMinValue = pRasterStatistic.Minimum;
// double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
// for (int i = 0; i < intValueCount; i++)
// {
// vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
// }
// long[] longvalues = new long[dblValues.Length];
// for (int i = 0; i <= dblValues.Length - 1; i++)
// {
// longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
// }
// //IClassifyGEN classify = null;
// IClassify classify = null;
// switch (classMethod)
// {
// case "等间距分级":
// EqualInterval eqclassify = new EqualIntervalClass();
// eqclassify.Classify(vValues, longvalues, ref numClasses);
// classify = eqclassify as IClassify;
// break;
// case "自然断点分级":
// NaturalBreaks naclassify = new NaturalBreaksClass();
// naclassify.Classify(vValues, longvalues, ref numClasses);
// classify = naclassify as IClassify;
// break;
// }
// //switch (classMethod)
// //{
// // case "等间距分级":
// // classify = new EqualIntervalClass();
// // break;
// // case "自然断点分级":
// // classify = new NaturalBreaksClass();
// // break;
// //}
// //classify.Classify(vValues, longvalues, ref numClasses);
// double[] Classes = classify.ClassBreaks as double[];
// UID pUid = classify.ClassID;
// IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
// rasClassifyUI.ClassificationMethod = pUid;
// rasClassifyRender.ClassCount = count;
// IColor pColor;
// ISimpleFillSymbol pSym;
// for (int j = 0; j < count; j++)
// {
// pColor = ramp.get_Color(j * (ramp.Size / count));
// pSym = new SimpleFillSymbolClass();
// pSym.Color = pColor;
// rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
// rasRender.Update();
// if (Classes[j] == 0)
// {
// rasClassifyRender.set_Label(j, Classes[j].ToString() + "-" + Classes[j + 1].ToString("0.000"));
// rasRender.Update();
// }
// else
// {
// rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
// rasRender.Update();
// }
// }
// rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
try
{ //进行唯一值判断
IUniqueValues values = new UniqueValuesClass();
IRasterCalcUniqueValues unique = new RasterCalcUniqueValuesClass();
unique.AddFromRaster(rastlayer.Raster, 0, values);
int uniquecount = values.get_UniqueCount(0);
//计算统计图
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IRasterHistogram pRasterHistogram = band.Histogram;
double[] dblValues = pRasterHistogram.Counts as double[];
int intValueCount = dblValues.GetUpperBound(0) + 1;
double[] vValues = new double[intValueCount];
IRasterStatistics pRasterStatistic = band.Statistics;
double dMaxValue = pRasterStatistic.Maximum;
double dMinValue = pRasterStatistic.Minimum;
if (dMinValue == 0)
{
pRasterStatistic.IgnoredValues = pRasterStatistic.Minimum;
pRasterStatistic.Recalculate();
dMinValue = pRasterStatistic.Minimum;
}
double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
for (int i = 0; i < intValueCount; i++)
{
vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
}
long[] longvalues = new long[dblValues.Length];
for (int i = 0; i <= dblValues.Length - 1; i++)
{
longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
}
//IClassifyGEN classify = null;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
EqualInterval eqclassify = new EqualIntervalClass();
eqclassify.Classify(vValues, longvalues, ref numClasses);
classify = eqclassify as IClassify;
break;
case "自然断点分级":
NaturalBreaks naclassify = new NaturalBreaksClass();
naclassify.Classify(vValues, longvalues, ref numClasses);
classify = naclassify as IClassify;
break;
}
#region
//switch (classMethod)
//{
// case "等间距分级":
// classify = new EqualIntervalClass();
// break;
// case "自然断点分级":
// classify = new NaturalBreaksClass();
// break;
//}
//classify.Classify(vValues, longvalues, ref numClasses);
#endregion
double[] Classes = classify.ClassBreaks as double[];
int n = Classes.Count();
double dn = Classes[0];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassCount = count;
IColor pColor;
ISimpleFillSymbol pSym;
//排除数值
double[] exdouble = new double[2] {
0, Classes[0]
};
IRasterDataExclusion ex = rasClassifyRender as IRasterDataExclusion;
ex.ExcludeValues = exdouble;
ex.ExcludeColor = GET(255, 255, 255);
for (int j = 0; j < count; j++)
{
pColor = ramp.get_Color(j * (ramp.Size / count));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasRender.Update();
rasClassifyRender.set_Break(j, rasClassifyRender.get_Break(j));
rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
rasRender.Update();
}
//IRasterProps rasterProps = (IRasterProps)rastlayer.Raster;
//rasterProps.NoDataValue = 0;
//IRasterDisplayProps props = rasClassifyRender as IRasterDisplayProps;
//props.NoDataColor = GET(255, 255, 255);
//rasRender.Update();
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
catch (Exception ex)
{
//MessageBox.Show(ex.ToString());
if (ex.ToString().Contains("唯一值过多"))
{
MessageBox.Show("唯一值数量已达到限制（65536）");
}
else
{
MessageBox.Show("还未计算唯一值，进行唯一值计算！");
}
}
//catch
//{
// MessageBox.Show("数据需要先计算统计值，请点击确定进行计算！");
//}
}
public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IRasterHistogram pRasterHistogram = band.Histogram;
double[] dblValues = pRasterHistogram.Counts as double[];
int intValueCount = dblValues.GetUpperBound(0) + 1;
double[] vValues = new double[intValueCount];
IRasterStatistics pRasterStatistic = band.Statistics;
double dMaxValue = pRasterStatistic.Maximum;
double dMinValue = pRasterStatistic.Minimum;
if (dMinValue == 0)
{
pRasterStatistic.IgnoredValues = pRasterStatistic.Minimum;
pRasterStatistic.Recalculate();
dMinValue = pRasterStatistic.Minimum;
}
double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
for (int i = 0; i < intValueCount; i++)
{
vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
}
long[] longvalues = new long[dblValues.Length];
for (int i = 0; i <= dblValues.Length - 1; i++)
{
longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
}
//IClassifyGEN classify = null;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
EqualInterval eqclassify = new EqualIntervalClass();
eqclassify.Classify(vValues, longvalues, ref numClasses);
classify = eqclassify as IClassify;
break;
case "自然断点分级":
NaturalBreaks naclassify = new NaturalBreaksClass();
naclassify.Classify(vValues, longvalues, ref numClasses);
classify = naclassify as IClassify;
break;
}
//switch (classMethod)
//{
// case "等间距分级":
// classify = new EqualIntervalClass();
// break;
// case "自然断点分级":
// classify = new NaturalBreaksClass();
// break;
//}
//classify.Classify(vValues, longvalues, ref numClasses);
double[] Classes = classify.ClassBreaks as double[];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassCount = count;
IColor pColor;
ISimpleFillSymbol pSym;
for (int j = 0; j < count; j++)
{
IRasterProps rasterProps = (IRasterProps)rastlayer.Raster;
rasterProps.NoDataValue = 0;
pColor = ramp.get_Color(j * (ramp.Size / count));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasRender.Update();
rasClassifyRender.set_Break(j, rasClassifyRender.get_Break(j));
rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
rasRender.Update();
}
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
public void RasterClassify(IRasterLayer rastlayer, string classMethod, int count, IColorRamp ramp)
{
try
{
//计算统计图
IRasterBand band = GetBand(rastlayer);
if (band.Histogram == null)
{
band.ComputeStatsAndHist();
}
IRasterClassifyColorRampRenderer rasClassifyRender = new RasterClassifyColorRampRendererClass();
IRasterRenderer rasRender = rasClassifyRender as IRasterRenderer;
rasRender.Raster = rastlayer.Raster;
rasRender.Update();
int numClasses = count;
IRasterHistogram pRasterHistogram = band.Histogram;
double[] dblValues = pRasterHistogram.Counts as double[];
int intValueCount = dblValues.GetUpperBound(0) + 1;
double[] vValues = new double[intValueCount];
IRasterStatistics pRasterStatistic = band.Statistics;
double dMaxValue = pRasterStatistic.Maximum;
double dMinValue = pRasterStatistic.Minimum;
double BinInterval = Convert.ToDouble((dMaxValue - dMinValue) / intValueCount);
for (int i = 0; i < intValueCount; i++)
{
vValues[i] = i * BinInterval + pRasterStatistic.Minimum;
}
long[] longvalues = new long[dblValues.Length];
for (int i = 0; i <= dblValues.Length - 1; i++)
{
longvalues[i] = long.Parse(Convert.ToString(dblValues[i]));
}
//IClassifyGEN classify = null;
IClassify classify = null;
switch (classMethod)
{
case "等间距分级":
classify = new EqualIntervalClass();
break;
case "自然断点分级":
classify = new NaturalBreaksClass();
break;
}
classify.Classify(ref numClasses);
double[] Classes = classify.ClassBreaks as double[];
UID pUid = classify.ClassID;
IRasterClassifyUIProperties rasClassifyUI = rasClassifyRender as IRasterClassifyUIProperties;
rasClassifyUI.ClassificationMethod = pUid;
rasClassifyRender.ClassCount = count;
IColor pColor;
ISimpleFillSymbol pSym;
for (int j = 0; j < count; j++)
{
pColor = ramp.get_Color(j * (ramp.Size - 1) / (count - 1));
pSym = new SimpleFillSymbolClass();
pSym.Color = pColor;
rasClassifyRender.set_Symbol(j, (ISymbol)pSym);
rasRender.Update();
rasClassifyRender.set_Break(j, rasClassifyRender.get_Break(j));
//rasClassifyRender.set_Label(j, Classes[j].ToString("0.000") + "-" + Classes[j + 1].ToString("0.000"));
rasRender.Update();
}
//IRasterProps rasterProps = (IRasterProps)rastlayer.Raster;
//rasterProps.NoDataValue = 0;
//IRasterDisplayProps props = rasClassifyRender as IRasterDisplayProps;
//props.NoDataColor = GET(255, 255, 255);
//rasRender.Update();
rastlayer.Renderer = rasClassifyRender as IRasterRenderer;
}
catch
{
MessageBox.Show("唯一值数量已达到限制（65536）");
}
}
//拉伸到灰度图像
private bool stretchToGrayImage(IRaster pSrcRaster, string szOutputFilename, double dbMinThreshold = 0.02, double dbMaxThreshold = 0.98)
{
try
{
if (pSrcRaster == null || szOutputFilename == null)
{
return(false);
}
//深拷贝
IClone pSrcClone = pSrcRaster as IClone;
IClone pDstClone = pSrcClone.Clone();
IRaster pDstRaster = pDstClone as IRaster;
IRaster2 pDstRaster2 = pDstRaster as IRaster2;
IRasterProps pRasterProps = pDstRaster as IRasterProps;
//原始统计信息
bool bFlag = false;
IRasterBand pRasterBand = (pDstRaster as IRasterBandCollection).Item(0);
pRasterBand.HasStatistics(out bFlag);
if (!bFlag)
{
pRasterBand.ComputeStatsAndHist();
}
//得到原始栅格影像的最大最小值和步长
double dbSrcMaxValue = pRasterBand.Statistics.Maximum;
double dbSrcMinValue = pRasterBand.Statistics.Minimum;
double dbSrcStep = (dbSrcMaxValue - dbSrcMinValue) / 256;
double dbStretchMaxValue = pRasterBand.Statistics.Maximum;
double dbStretchMinValue = pRasterBand.Statistics.Minimum;
#region 灰度映射，利用重分类来做
//第一次重分类
IReclassOp reclassOp = new RasterReclassOpClass();
INumberRemap numberRemap = new NumberRemapClass();
for (int i = 0; i < 256; i++)
{
numberRemap.MapRange(dbSrcMinValue + i * dbSrcStep, dbStretchMinValue + (i + 1) * dbSrcStep, i);
}
IRaster pRasterTemp = reclassOp.ReclassByRemap((IGeoDataset)(pDstRaster2.RasterDataset), (IRemap)numberRemap, true) as IRaster;
IRaster2 pRasterTemp2 = pRasterTemp as IRaster2;
IRasterProps pRasterTempProps = pRasterTemp as IRasterProps;
//得到属性表
IRasterDatasetEdit3 pRasterDatasetEdit3 = pRasterTemp2.RasterDataset as IRasterDatasetEdit3;
pRasterDatasetEdit3.ComputeStatisticsHistogram(1, 1, null, true);
IRasterBand rasterBand = (pRasterTempProps as IRasterBandCollection).Item(0);
IRasterHistogram rasterHistogram = rasterBand.Histogram;
IRasterStatistics rasterStatistics = rasterBand.Statistics;
double[] pHistogramCount = (double[])rasterHistogram.Counts;
int nCurrentCount = 0;
int nIndex = 0;
int nPixelCount = 0;//pRasterProps.Width * pRasterProps.Height;
//double dSum = 0.0;
for (int i = 0; i < 256; i++)
{
nPixelCount += (int)pHistogramCount[i];
}
//得到拉伸的最大最小值
while (Convert.ToDouble(nCurrentCount) / nPixelCount < dbMinThreshold)
{
nCurrentCount += Convert.ToInt32(pHistogramCount[nIndex++]);
}
dbStretchMinValue = nIndex * dbSrcStep + dbSrcMinValue;
while (Convert.ToDouble(nCurrentCount) / nPixelCount < dbMaxThreshold)
{
nCurrentCount += Convert.ToInt32(pHistogramCount[nIndex++]);
}
dbStretchMaxValue = nIndex * dbSrcStep + dbSrcMinValue;
dbSrcStep = (dbStretchMaxValue - dbStretchMinValue) / 256;
#endregion
#region 拉伸
INumberRemap numberRemapForStretch = new NumberRemapClass();
numberRemapForStretch.MapRange(dbSrcMinValue, dbStretchMinValue + dbSrcStep, 0);
for (int i = 1; i < 255; i++)
{
numberRemapForStretch.MapRange(dbStretchMinValue + i * dbSrcStep, dbStretchMinValue + (i + 1) * dbSrcStep, i);
}
numberRemapForStretch.MapRange(dbStretchMinValue + 255 * dbSrcStep, dbSrcMaxValue, 255);
IRaster pRasterStretch = reclassOp.ReclassByRemap((IGeoDataset)((pDstRaster as IRaster2).RasterDataset), (IRemap)numberRemapForStretch, true) as IRaster;
IRasterProps pRasterStretchProps = pRasterStretch as IRasterProps;
#region 注释代码
////拉伸
//IPixelBlock3 pixelBlock3 = null;
//IRasterCursor rasterCursor = (pDstRaster as IRaster2).CreateCursorEx(null);//null时为128*128
//do
//{
// pixelBlock3 = rasterCursor.PixelBlock as IPixelBlock3;
// int nWidth = pixelBlock3.Width;
// int nHeight = pixelBlock3.Height;
// System.Array pixels = (System.Array)pixelBlock3.get_PixelData(0);
// for (int m = 0; m < nWidth; m++)
// {
// for (int n = 0; n < nHeight; n++)
// {
// double dbSrcValue = Convert.ToDouble(pixels.GetValue(m, n));
// if (double.IsNaN(dbSrcValue) || dbSrcValue == dbNoDataValue)
// continue;
// if (dbSrcValue >= dbStretchMaxValue)
// pixels.SetValue(255, m, n);
// else if (dbSrcValue <= dbStretchMinValue)
// pixels.SetValue(0, m, n);
// else
// {
// byte dbDstValue = Convert.ToByte((dbSrcValue - dbStretchMinValue) / (dbStretchMaxValue - dbStretchMinValue) * 255);
// pixels.SetValue(dbDstValue, m, n);
// }
// }
// }
// pixelBlock3.set_PixelData(0, (System.Array)pixels);
// //修改数据
// pRasterEdit.Write(rasterCursor.TopLeft, pixelBlock3 as IPixelBlock);
// pRasterEdit.Refresh();
//} while (rasterCursor.Next() == true);
#endregion
#endregion
#region 存储数据
IWorkspaceFactory pWorkspaceFactory = new RasterWorkspaceFactoryClass();
IWorkspace inmemWor = pWorkspaceFactory.OpenFromFile(System.IO.Path.GetDirectoryName(szOutputFilename), 0);
pRasterStretchProps.PixelType = rstPixelType.PT_UCHAR;
ISaveAs2 pSaveAs = pRasterStretchProps as ISaveAs2;
if (pSaveAs == null)
{
return(false);
}
IRasterStorageDef pRSDef = new RasterStorageDefClass();
IRasterDataset pDataset = pSaveAs.SaveAsRasterDataset(System.IO.Path.GetFileName(szOutputFilename), inmemWor, "TIFF", pRSDef);
(pDataset as IRasterDataset3).Refresh();
//IRasterEdit pRasterEdit = pDstRaster as IRasterEdit;
IRasterEdit pRasterTempEdit = pRasterTemp as IRasterEdit;
System.Runtime.InteropServices.Marshal.ReleaseComObject(pRasterTempEdit);
IRasterEdit pRasterStretchEdit = pRasterStretch as IRasterEdit;
System.Runtime.InteropServices.Marshal.ReleaseComObject(pRasterStretchEdit);
#endregion
return(true);
}
catch (System.Exception ex)
{
MessageBox.Show(ex.Message);
return(false);
}
}
