public static void RasterizeGdbFeature(string gdbPath, string inputeFeatureLayer, out Dataset outputDataset, string fieldName, double rasterCellSize)
{
ReadFeature readFeature = new ReadFeature(gdbPath, inputeFeatureLayer);
Layer layer = readFeature.GetFeatureLayer();
ConversionGdal.ConvertFeatureToRaster(layer, out outputDataset, rasterCellSize, fieldName);
}
public void Save(int xoff, int yoff, int buf_xsize, int buf_ysize, double[] buffer)
{
try
{
OSGeo.GDAL.Gdal.AllRegister();
_dataSet = OSGeo.GDAL.Gdal.Open(_fileName, OSGeo.GDAL.Access.GA_Update);
_band1 = _dataSet.GetRasterBand(1);
CPLErr err1 = _band1.WriteRaster(xoff,
yoff,
_resultInfo.Width,
buf_ysize,
buffer,
buf_xsize,
buf_ysize,
0,
0);
_dataSet.Dispose();
_band1.Dispose();
}
catch (Exception ex)
{
throw new Exception("数据写入失败。" + ex.Message);
}
}
//影像裁剪
private void ImageCutToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
OpenFileDialog OFD = new OpenFileDialog()
{
AutoUpgradeEnabled = true,
CheckFileExists = true,
InitialDirectory = Environment.SpecialFolder.Desktop.ToString(),
Multiselect = false,
Title = "选择要进行分割的影像...",
};
if (OFD.ShowDialog(this) == DialogResult.OK)
{
OSGeo.GDAL.Dataset tmpCutDS = OSGeo.GDAL.Gdal.Open(OFD.FileName, OSGeo.GDAL.Access.GA_ReadOnly);
if (tmpCutDS == null)
{
return;
}
FrmCut FC = new FrmCut(tmpCutDS.RasterXSize, tmpCutDS.RasterYSize, "影像裁剪 - " + Path.GetFileName(OFD.FileName));
if (FC.ShowDialog(this) == DialogResult.OK)
{
Tools.BaseProcess.CutImage(tmpCutDS, FC.ImgWidth, FC.ImgHeight, DataType.GDT_Byte, FC.OutPath);
}
FC.Dispose();
}
OFD.Dispose();
}
catch (Exception err)
{
MessageBox.Show(err.ToString());
}
}
private void ReadHeader()
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_Update);
}
catch
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_ReadOnly);
}
catch (Exception ex)
{
throw new GdalException(ex.ToString());
}
}
Init(_dataset.RasterXSize, _dataset.RasterYSize);
NumBands = _dataset.RasterCount;
WorldFile = new WorldFile { Affine = new double[6] };
double[] test = new double[6];
_dataset.GetGeoTransform(test);
Bounds = new RasterBounds(Height, Width, test);
WorldFile.Affine = test;
DoClose();
}
/// <summary>
/// 展现Img
/// </summary>
/// <param name="filename">img文件</param>
/// <param name="Width">显示区域宽度</param>
/// <param name="Height">需要显示高度</param>
/// <returns>返回Bitmap对象</returns>
public Bitmap ImageShow(string filename, int Width, int Height)
{
// 为了支持中文路径，请添加下面这句代码
OSGeo.GDAL.Gdal.SetConfigOption("GDAL_FILENAME_IS_UTF8", "NO");
// 为了使属性表字段支持中文，请添加下面这句
OSGeo.GDAL.Gdal.SetConfigOption("SHAPE_ENCODING", "");
OSGeo.GDAL.Gdal.AllRegister();
OSGeo.GDAL.Dataset ds = Gdal.Open(filename, Access.GA_ReadOnly);
if (ds == null)
{
MessageBox.Show("影像打开失败");
return(null);
}
Rectangle pictureRect = new Rectangle();
pictureRect.X = 0;
pictureRect.Y = 0;
pictureRect.Width = Width;
pictureRect.Height = Height;
int[] disband = { 3, 2, 1 };
Bitmap bitmap = GetImage(ds, pictureRect, disband); //遥感影像构建位图
return(bitmap);
// pictureBox1.Image = bitmap; //将位图传递给PictureBox控件进行显示
}
public double [] FetchDataFromFile(string filename)
{
try
{
OSGeo.GDAL.Gdal.AllRegister();
OSGeo.GDAL.Dataset dataset = Gdal.Open(filename, Access.GA_ReadOnly);
if (dataset == null)
{
Console.WriteLine("Read file was failed!");
}
int width = dataset.RasterXSize;
int height = dataset.RasterYSize;
Band band1 = dataset.GetRasterBand(1);
double[] data = new double[width * height];
band1.ReadRaster(0, 0, width, height, data, width, height, 0, 0);
return(data);
}
catch (Exception ex)
{
return(null);
//Console.WriteLine("Read data was failed!");
//Console.WriteLine("Error: " + ex.Message);
}
}
/// <summary>
/// 数据保存
/// </summary>
public void Save()
{
try
{
OSGeo.GDAL.Gdal.AllRegister();
_dataSet = OSGeo.GDAL.Gdal.Open(_fileName, OSGeo.GDAL.Access.GA_Update);
_band1 = _dataSet.GetRasterBand(1);
CPLErr err1 = _band1.WriteRaster(0,
0,
_resultInfo.Width,
_resultInfo.Height,
_pixels1,
_resultInfo.Width,
_resultInfo.Height,
0,
0);
_dataSet.Dispose();
_band1.Dispose();
}
catch (Exception ex)
{
throw new Exception("数据写入失败。" + ex.Message);
}
}
public new TerrainTile GetTerrainTile(double latitude, double longitude, double samplesPerDegree)
{
//Get Empty Terrain Tile
TerrainTile tt = base.GetTerrainTile(latitude, longitude, samplesPerDegree);
//Populate target .bil file with data from DataSet
string cachefile = tt.TerrainTileFilePath;
//work out lines and pixels to extract from VRT
int startpixel = (int)Math.Floor((tt.West - m_transform[0]) / m_transform[1]);
int endpixel = (int)Math.Ceiling((tt.East - m_transform[0]) / m_transform[1]);
int startline = (int)Math.Floor((tt.North - m_transform[3]) / m_transform[5]);
int endline = (int)Math.Ceiling((tt.South - m_transform[3]) / m_transform[5]);
int xsize = endpixel - startpixel;
int ysize = endline - startline;
//Allow partial raster access for beyond edge cases
int realstartpixel = Math.Max(0, startpixel);
int realstartline = Math.Max(0, startline);
int realendpixel = Math.Min(m_pixels, endpixel);
int realendline = Math.Min(m_lines, endline);
//Scale target window in case of partial access
int realxsize = realendpixel - realstartpixel;
int realysize = realendline - realstartline;
//Scale buffer window
int bufxsize = (int)Math.Round(256.0 * (double)realxsize / (double)xsize);
int bufysize = (int)Math.Round(256.0 * (double)realysize / (double)ysize);
int xoff = (int)Math.Round(256.0 * (double)(realstartpixel - startpixel) / (double)xsize);
int yoff = (int)Math.Round(256.0 * (double)(realstartline - startline) / (double)ysize);
int totalbuf = bufxsize * bufysize;
//use pixel space and line space instead of separate buffers
Int16[] dembuffer = new Int16[totalbuf];
//extract data from vrt
try
{
m_dataset.GetRasterBand(1).ReadRaster(realstartpixel, realstartline, realxsize, realysize, dembuffer, bufxsize, bufysize, 0, 0);
}
catch
{
Console.WriteLine("Raster Could not be accessed");
}
//write out cache file
Driver memdriver = Gdal.GetDriverByName("ENVI");
string[] options = new string[0];
//TODO: Add compression
OSGeo.GDAL.Dataset tile_ds = memdriver.Create(cachefile, 256, 256, 1, (DataType)OSGeo.GDAL.GdalConst.GDT_Int16, options);
tile_ds.GetRasterBand(1).WriteRaster(xoff, yoff, bufxsize, bufysize, dembuffer, bufxsize, bufysize, 0, 0);
tile_ds.Dispose();
return(tt);
}
public static Dataset AutoCreateWarpedVRT(Dataset src_ds, string src_wkt, string dst_wkt, ResampleAlg eResampleAlg, double maxerror)
{
IntPtr cPtr = GdalPINVOKE.AutoCreateWarpedVRT(Dataset.getCPtr(src_ds), src_wkt, dst_wkt, (int)eResampleAlg, maxerror);
Dataset ret = (cPtr == IntPtr.Zero) ? null : new Dataset(cPtr, true, ThisOwn_true());
if (GdalPINVOKE.SWIGPendingException.Pending) throw GdalPINVOKE.SWIGPendingException.Retrieve();
return ret;
}
public void WriterRasterResult(string nFileName, ResultInfo resultInfo)
{
try
{
_fileName = nFileName;
_resultInfo = resultInfo;
OSGeo.GDAL.Gdal.AllRegister();
OSGeo.GDAL.Driver nDriver = OSGeo.GDAL.Gdal.GetDriverByName("GTiff");
double[] inGeo = _resultInfo.InGeo;
string[] strs = new string[] { "INTERLEAVE = PIXEL" };
string prjWGS84 = "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"912\"]],AUTHORITY[\"EPSG\",\"4326\"]]";
_dataSet = nDriver.Create(_fileName,
_resultInfo.Width,
_resultInfo.Height,
1,
OSGeo.GDAL.DataType.GDT_Byte,
strs);
_pixels1 = new double[_resultInfo.Width * _resultInfo.Height];
_dataSet.SetGeoTransform(inGeo);
_dataSet.SetProjection(prjWGS84);
_dataSet.Dispose();
}
catch (System.Exception err)
{
throw new Exception("数据写入失败。" + err.Message);
}
}
private static void GDALInfoGetPosition(Dataset ds, double x, double y, out double dfGeoX, out double dfGeoY)
{
double[] adfGeoTransform = new double[6];
ds.GetGeoTransform(adfGeoTransform);
dfGeoX = adfGeoTransform[0] + adfGeoTransform[1] * x + adfGeoTransform[2] * y;
dfGeoY = adfGeoTransform[3] + adfGeoTransform[4] * x + adfGeoTransform[5] * y;
}
public GDAL_Info(Dataset ds)
{
Projection = ds.GetProjectionRef();
Resolution = new Size(ds.RasterXSize, ds.RasterYSize);
Bands = new DataBandInfo[ds.RasterCount];
for (int i = 0; i < ds.RasterCount; i++)
{
Band band = ds.GetRasterBand(i + 1);
Bands[i] = new DataBandInfo();
int temp;
band.GetMaximum(out Bands[i].MaxValue, out temp);
band.GetMaximum(out Bands[i].MinValue, out temp);
band.GetNoDataValue(out Bands[i].NODATAValue, out temp);
ColorInterp clr = band.GetRasterColorInterpretation();
switch (clr)
{
case ColorInterp.GCI_RedBand:
Bands[i].Name = "RedBand";
Bands[i].Image = Resource1.red_layer;
BppType += "R";
break;
case ColorInterp.GCI_GreenBand:
Bands[i].Name = "GreenBand";
Bands[i].Image = Resource1.green_layer;
BppType += "G";
break;
case ColorInterp.GCI_BlueBand:
Bands[i].Name = "BlueBand";
Bands[i].Image = Resource1.blue_layer;
BppType += "B";
break;
default:
Bands[i].Name = clr.ToString();
Bands[i].Image = null;
BppType += "?";
break;
}
BppType += "[" + Gdal.GetDataTypeName(band.DataType) + "]";
Bpp += (ushort)Gdal.GetDataTypeSize(band.DataType);
if (i + 1 < ds.RasterCount)
BppType += ",";
}
BppType += " (" + Bpp + ")";
Driver = ds.GetDriver().LongName;
Metadata = ds.GetMetadata("");
ImgMetadata = ds.GetMetadata("IMAGE_STRUCTURE");
SubDSMetadata = ds.GetMetadata("SUBDATASETS");
GeoLocMetadata = ds.GetMetadata("GEOLOCATION");
GDALInfoGetPosition(ds, 0.0, 0.0, out UpperLeftX, out UpperLeftY);
GDALInfoGetPosition(ds, 0.0, ds.RasterYSize, out UpperRightX, out UpperRightY);
GDALInfoGetPosition(ds, ds.RasterXSize, 0.0, out LowerLeftX, out LowerLeftY);
GDALInfoGetPosition(ds, ds.RasterXSize, ds.RasterYSize, out LowerRightX, out LowerRightY);
GDALInfoGetPosition(ds, ds.RasterXSize / 2, ds.RasterYSize / 2, out CenterX, out CenterY);
}
/// <summary>
///
/// </summary>
/// <param name="filename"></param>
/// <param name="ds"></param>
/// <param name="band"></param>
internal GdalImage(string filename, Dataset ds, ImageBandType band)
{
_dataset = ds;
if (band == ImageBandType.ARGB)
{
using (Band bnd = ds.GetRasterBand(1))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_AlphaBand);
}
using (Band bnd = ds.GetRasterBand(2))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_RedBand);
}
using (Band bnd = ds.GetRasterBand(3))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_GreenBand);
}
using (Band bnd = ds.GetRasterBand(4))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_BlueBand);
}
}
else if (band == ImageBandType.RGB)
{
using (Band bnd = ds.GetRasterBand(1))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_RedBand);
}
using (Band bnd = ds.GetRasterBand(2))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_GreenBand);
}
using (Band bnd = ds.GetRasterBand(3))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_BlueBand);
}
}
else if (band == ImageBandType.PalletCoded)
{
using (Band bnd = ds.GetRasterBand(3))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_PaletteIndex);
}
}
else
{
using (Band bnd = ds.GetRasterBand(3))
{
bnd.SetRasterColorInterpretation(ColorInterp.GCI_GrayIndex);
}
}
Filename = filename;
WorldFile = new WorldFile { Affine = new double[6] };
Gdal.AllRegister();
}
/// <summary>
/// 和GetData功能相同，但是使用GDAL直接从文件中读取数据。
/// </summary>
/// <param name="fileName">文件名字</param>
/// <param name="width">ref用于返回数据的宽度</param>
/// <param name="height">ref用于返回数据的高度</param>
/// <returns>一维数据数组,按行优先</returns>
private double[] GdalGetData(string fileName, ref int width, ref int height)
{
OSGeo.GDAL.Dataset dataset = OSGeo.GDAL.Gdal.Open(fileName, OSGeo.GDAL.Access.GA_ReadOnly);
width = dataset.RasterXSize;
height = dataset.RasterYSize;
double[] imageBuffer = new double[width * height];
OSGeo.GDAL.Band b = dataset.GetRasterBand(1);
b.ReadRaster(0, 0, width, height, imageBuffer, width, height, 0, 0);
return(imageBuffer);
}
public static HandleRef getCPtrAndSetReference(Dataset obj, object parent) {
if (obj != null)
{
obj.swigParentRef = parent;
return obj.swigCPtr;
}
else
{
return new HandleRef(null, IntPtr.Zero);
}
}
public static HandleRef getCPtrAndDisown(Dataset obj, object parent) {
if (obj != null)
{
obj.swigCMemOwn = false;
obj.swigParentRef = parent;
return obj.swigCPtr;
}
else
{
return new HandleRef(null, IntPtr.Zero);
}
}
private void ReadHeader()
{
_dataset = Helpers.Open(Filename);
Init(_dataset.RasterXSize, _dataset.RasterYSize);
NumBands = _dataset.RasterCount;
WorldFile = new WorldFile { Affine = new double[6] };
double[] test = new double[6];
_dataset.GetGeoTransform(test);
Bounds = new RasterBounds(Height, Width, test);
WorldFile.Affine = test;
Close();
}
/// <summary>
/// 拷贝元数据至新的数据集。
/// </summary>
/// <param name="InputDS">输入的数据集。</param>
/// <param name="TargetDS">要将元数据拷贝到的数据集。</param>
public static void CopyMetadata(OSGeo.GDAL.Dataset InputDS, OSGeo.GDAL.Dataset TargetDS)
{
if (InputDS == null || TargetDS == null)
{
throw new ArgumentNullException("数据集不能为空。");
}
//写入投影和变换信息
double[] TransformArgs = new double[6];
InputDS.GetGeoTransform(TransformArgs);
TargetDS.SetGeoTransform(TransformArgs);
TargetDS.SetProjection(InputDS.GetProjection());
//DS.SetMetadata(InputDS.GetMetadata());
}
public GDALTerrainTileService(OSGeo.GDAL.Dataset dataset, string datasetName, double lztsd, int nlevels, string tiledir)
:
base(null, datasetName, lztsd, 256,
".bil", nlevels, tiledir, new TimeSpan(), "")
{
m_dataset = dataset;
m_lines = dataset.RasterYSize;
m_pixels = dataset.RasterXSize;
dataset.GetGeoTransform(m_transform);
if (dataset.GetRasterBand(1).DataType == (DataType)OSGeo.GDAL.GdalConst.GDT_Int16)
{
this.m_dataType = "Int16";
}
else if (dataset.GetRasterBand(1).DataType == (DataType)OSGeo.GDAL.GdalConst.GDT_Float32)
{
this.m_dataType = "Float32";
}
}
private void menu_openFile_Click(object sender, RoutedEventArgs e)
{
try
{
Microsoft.Win32.OpenFileDialog OpenFileDialog = new Microsoft.Win32.OpenFileDialog();
OpenFileDialog.Filter = "所有图像文件 | *.bmp; *.pcx; *.png; *.jpg; *.gif; *.img; *.hdr;" +
"位图( *.bmp; *.jpg; *.png;...) | *.bmp; *.pcx; *.png; *.jpg; *.gif; *.tif; *.ico|";
OpenFileDialog.Title = "打开图像文件";
if (OpenFileDialog.ShowDialog() == true)
{
String filename = OpenFileDialog.FileName.ToString();
dataSet = Gdal.Open(filename, Access.GA_ReadOnly);
if (dataSet == null)
{
MessageBox.Show("影像打开失败");
return;
}
pictureRect = new System.Drawing.Rectangle();
pictureRect.X = 0;
pictureRect.Y = 0;
pictureRect.Width = Convert.ToInt16(this.mainScrollv.Width);
pictureRect.Height = Convert.ToInt16(this.mainScrollv.Height);
string[] metaData = dataSet.GetMetadata("");
BandWindow BandWindow = new BandWindow(metaData);
BandWindow.Show();
BandWindow.BandChoice += LoadImage;
}
}
catch
{
MessageBox.Show("请导入正确的图像文件");
return;
}
}
///// <summary>
///// 根据栅格图层名字返回栅格图层数据数组
///// </summary>
///// <param name="layerName">图层名字</param>
///// <param name="width">ref类型,数据的宽度</param>
///// <param name="height">ref类型,数据的高度</param>
///// <returns>数据数组，按行优先</returns>
//private double[] GetData(string layerName, ref int width, ref int height)
//{
// var map = GIS.FrameWork.Application.App.Map;
// var layers = map.Layers;
// ILayer selectedLayer = null;
// for (int i = 0; i < layers.Count; i++)
// {
// var layer = layers[i];
// if (layer.LegendText == layerName)
// {
// selectedLayer = layer;
// break;
// }
// }
// if (selectedLayer == null)
// {
// return null; // 图层名无效
// }
// try
// {
// RasterLayer rasterLayer = selectedLayer as RasterLayer;
// IRaster rasterDataSet = rasterLayer.DataSet;
// Dataset dataset = GIS.GDAL.RasterConverter.Ds2GdalRaster(rasterDataSet, null, new int[] { 1 });
// width = dataset.RasterXSize;
// height = dataset.RasterYSize;
// double[] imageBuffer = new double[width * height];
// Band band = dataset.GetRasterBand(1);
// band.ReadRaster(0, 0, width, height, imageBuffer, width, height, 0, 0);
// return imageBuffer;
// }
// catch
// {
// return null; // 图层不是栅格图层或将图层转化为GDAL dataset失败或从GDAL dataset中读取数据失败
// }
//}
/// <summary>
/// 和GetData功能相同，但是使用GDAL直接从文件中读取数据。
/// 获取空间参照信息
/// </summary>
/// <param name="fileName">文件名字</param>
/// <param name="width">ref用于返回数据的宽度</param>
/// <param name="height">ref用于返回数据的高度</param>
/// <returns>一维数据数组,按行优先</returns>
protected double[] GdalGetData(string fileName, ref int width, ref int height)
{
OSGeo.GDAL.Dataset dataset = OSGeo.GDAL.Gdal.Open(fileName, OSGeo.GDAL.Access.GA_ReadOnly);
width = dataset.RasterXSize;
height = dataset.RasterYSize;
this.geoTransform = new double[6];
dataset.GetGeoTransform(geoTransform);
this.projStr = dataset.GetProjection();
this.tiffType = dataset.GetType();
double[] imageBuffer = new double[width * height];
OSGeo.GDAL.Band b = dataset.GetRasterBand(1);
b.ReadRaster(0, 0, width, height, imageBuffer, width, height, 0, 0);
double noDataVal;
int hasVal;
b.GetNoDataValue(out noDataVal, out hasVal);
this.noDataVal = noDataVal;
return(imageBuffer);
}
public GDALTerrainAccessor(
double north,
double south,
double east,
double west,
OSGeo.GDAL.Dataset dataset,
string datasetName,
double lztsd,
int nlevels,
string tiledir)
{
m_north = north;
m_south = south;
m_east = east;
m_west = west;
m_terrainTileService = new GDALTerrainTileService(
dataset,
datasetName,
lztsd,
nlevels,
tiledir);
}
public bool MakeTifFile(double[] et, string source, string dest)
{
bool result = false;
OSGeo.GDAL.Gdal.AllRegister();
OSGeo.GDAL.Dataset in_dataset = Gdal.Open(source, Access.GA_ReadOnly);
int width = in_dataset.RasterXSize;
int height = in_dataset.RasterYSize;
Driver driver = Gdal.GetDriverByName("GTiff");
Dataset out_dataset = driver.Create(dest, width, height, 1, DataType.GDT_Float64, null);
string projectionRef = in_dataset.GetProjectionRef();
double[] geoTransform = new double[6];
out_dataset.SetProjection(projectionRef);
out_dataset.SetGeoTransform(geoTransform);
out_dataset.GetRasterBand(1).WriteRaster(0, 0, width, height, et, width, height, 0, 0);
out_dataset.GetRasterBand(1).FlushCache();
out_dataset.FlushCache();
out_dataset.Dispose();
result = true;
return(result);
}
private static void WriteRgb(Bitmap value, int xOffset, int yOffset, Band first, Dataset set)
{
if (set.RasterCount < 3)
{
throw new GdalException(
"RGB Format was indicated but there are only " +
set.RasterCount +
" bands!");
}
int width = value.Width;
int height = value.Height;
BitmapData bData = value.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite,
PixelFormat.Format24bppRgb);
int stride = Math.Abs(bData.Stride);
byte[] vals = new byte[stride * height];
Marshal.Copy(bData.Scan0, vals, 0, vals.Length);
value.UnlockBits(bData);
byte[] r = new byte[width * height];
byte[] g = new byte[width * height];
byte[] b = new byte[width * height];
for (int row = 0; row < height; row++)
{
for (int col = 0; col < width; col++)
{
b[row * width + col] = vals[row * stride + col * 4];
g[row * width + col] = vals[row * stride + col * 4 + 1];
r[row * width + col] = vals[row * stride + col * 4 + 2];
}
}
Band green = set.GetRasterBand(2);
Band blue = set.GetRasterBand(3);
first.WriteRaster(xOffset, yOffset, width, height, r, width, height, 0, 0);
first.FlushCache();
green.WriteRaster(xOffset, yOffset, width, height, g, width, height, 0, 0);
green.FlushCache();
blue.WriteRaster(xOffset, yOffset, width, height, b, width, height, 0, 0);
blue.FlushCache();
// first disposed in caller
green.Dispose();
blue.Dispose();
}
private Bitmap ReadRgb(int xOffset, int yOffset, int xSize, int ySize, Band first, Dataset set)
{
if (set.RasterCount < 3)
{
throw new GdalException(
"RGB Format was indicated but there are only " +
set.RasterCount +
" bands!");
}
Band first_o;
Band green_o;
Band blue_o;
Band green = set.GetRasterBand(2);
Band blue = set.GetRasterBand(3);
int width = xSize;
int height = ySize;
if (first.GetOverviewCount() > 0 && _overview >= 0)
{
first_o = first.GetOverview(_overview);
green_o = green.GetOverview(_overview);
blue_o = blue.GetOverview(_overview);
}
else
{
first_o = first;
green_o = green;
blue_o = blue;
}
if (xOffset + width > first_o.XSize)
{
width = first_o.XSize - xOffset;
}
if (yOffset + height > first_o.YSize)
{
height = first_o.YSize - yOffset;
}
Bitmap result = new Bitmap(width, height, PixelFormat.Format32bppArgb);
//byte[] r;
if (r == null || r.Length != width * height)
{
r = new byte[width * height];
}
if (g == null || g.Length != width * height)
{
g = new byte[width * height];
}
if (b == null || b.Length != width * height)
{
b = new byte[width * height];
}
if (vals == null || vals.Length != width * height * 4)
{
vals = new byte[width * height * 4];
}
first_o.ReadRaster(xOffset, yOffset, width, height, r, width, height, 0, 0);
green_o.ReadRaster(xOffset, yOffset, width, height, g, width, height, 0, 0);
blue_o.ReadRaster(xOffset, yOffset, width, height, b, width, height, 0, 0);
/* alternative way to call gdal
unsafe
{
fixed (byte* p = r)
{
IntPtr ptr = (IntPtr)p;
first_o.ReadRaster(xOffset, yOffset, width, height, ptr, width, height, DataType.GDT_Byte, 0, 0);
}
fixed (byte* p = g)
{
IntPtr ptr = (IntPtr)p;
green_o.ReadRaster(xOffset, yOffset, width, height, ptr, width, height, DataType.GDT_Byte, 0, 0);
}
fixed (byte* p = b)
{
IntPtr ptr = (IntPtr)p;
blue_o.ReadRaster(xOffset, yOffset, width, height, ptr, width, height, DataType.GDT_Byte, 0, 0);
}
}*/
//first disposed in caller
green.Dispose();
blue.Dispose();
BitmapData bData =
result.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite,
PixelFormat.Format32bppArgb);
int stride = Math.Abs(bData.Stride);
for (int row = 0; row < height; row++)
{
for (int col = 0; col < width; col++)
{
vals[row * stride + col * 4] = b[row * width + col];
vals[row * stride + col * 4 + 1] = g[row * width + col];
vals[row * stride + col * 4 + 2] = r[row * width + col];
vals[row * stride + col * 4 + 3] = 255;
}
}
Marshal.Copy(vals, 0, bData.Scan0, vals.Length);
result.UnlockBits(bData);
//vals = null;
//r = null;
//g = null;
//b = null;
return result;
}
/// <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);
}
}
// faster than rotated display
#if !DotSpatialProjections
private void GetNonRotatedPreview(Dataset dataset, Size size, Graphics g,
Envelope bbox, ICoordinateSystem mapProjection)
/// <summary>
/// initialize a Gdal based raster layer
/// </summary>
/// <param name="strLayerName">Name of layer</param>
/// <param name="imageFilename">location of image</param>
public GdalRasterLayer(string strLayerName, string imageFilename)
{
SpotPoint = new PointF(0, 0);
Projection = "";
BitDepth = 8;
NonSpotGain = new double[] {1, 1, 1, 1};
SpotGain = new double[] {1, 1, 1, 1};
Gain = new double[] {1, 1, 1, 1};
NonSpotGamma = 1;
SpotGamma = 1;
Gamma = 1;
TransparentColor = Color.Empty;
ColorCorrect = true;
LayerName = strLayerName;
Filename = imageFilename;
//TilingSize = new Size(256, 128);
Gdal.AllRegister();
try
{
_gdalDataset = Gdal.OpenShared(Filename, Access.GA_ReadOnly);
// have gdal read the projection
Projection = _gdalDataset.GetProjectionRef();
// no projection info found in the image...check for a prj
if (Projection == "" &&
File.Exists(imageFilename.Substring(0, imageFilename.LastIndexOf(".", StringComparison.CurrentCultureIgnoreCase)) + ".prj"))
{
Projection =
File.ReadAllText(imageFilename.Substring(0, imageFilename.LastIndexOf(".", StringComparison.CurrentCultureIgnoreCase)) + ".prj");
}
_imageSize = new Size(_gdalDataset.RasterXSize, _gdalDataset.RasterYSize);
_envelope = GetExtent();
HistoBounds = new Rectangle((int)_envelope.MinX, (int)_envelope.MinY, (int)_envelope.Width,
(int)_envelope.Height);
Bands = _gdalDataset.RasterCount;
}
catch (Exception ex)
{
_gdalDataset = null;
throw new Exception("Couldn't load " + imageFilename + "\n\n" + ex.Message + ex.InnerException);
}
}
private void buttonOk_Click(object sender, EventArgs e)
{
double a0 = 0.0;
double a1 = 0.0;
int moorNeighbourSize = 0;
double tSpon = 0.0;
double sigma = 0.0;
int amountOfNewDevelopment = 0;
// 读取配置参数
try
{
a0 = Convert.ToDouble(this.textBoxA0.Text);
a1 = Convert.ToDouble(this.textBoxA1.Text);
moorNeighbourSize = Convert.ToInt32(this.textBoxMoorNeighbourSize.Text);
tSpon = Convert.ToDouble(this.textBoxTSpon.Text);
sigma = Convert.ToDouble(this.textBoxSigma.Text);
amountOfNewDevelopment = Convert.ToInt32(this.textBoxAmountOfNewDevelopment.Text);
}
catch
{
MessageBox.Show("请输入正确的a0 ,a1 , moorNeighbourSize, tSpon, sigma, amountOfNewDevelopment参数");
return;
}
// 读取图层
if (this.comboBoxInitialData.SelectedItem == null || this.comboBoxPgData.SelectedItem == null || this.comboBoxSuitableData.SelectedItem == null)
{
MessageBox.Show("清先选择图层");
return;
}
string initialUrbanImageLayerName = this.comboBoxInitialData.SelectedItem.ToString();
string pgLayerName = this.comboBoxPgData.SelectedItem.ToString();
string landSuitableLayerName = this.comboBoxSuitableData.SelectedItem.ToString();
int width = 0;
int height = 0;
double[] imageBuffer = GetData(initialUrbanImageLayerName, ref width, ref height);
double[] suitableBuffer = GetData(landSuitableLayerName, ref width, ref height);
double[] pg = GetData(pgLayerName, ref width, ref height);
if (imageBuffer == null || pg == null || suitableBuffer == null)
{
MessageBox.Show("图层名无效,图层不是栅格图层,将图层转化为GDAL dataset失败,从GDAL dataset中读取数据失败");
return;
}
//this.logisticPatchCa = new LogisticPatchCa(a0,
// a1,
// moorNeighbourSize,
// tSpon,
// sigma,
// height,
// width,
// imageBuffer,
// pg,
// suitableBuffer,
// amountOfNewDevelopment);
//this.SetSimulate();
//this.SetProgressBar();
unsafe
{
fixed(double *pImageBuffer = imageBuffer, pSuitableBuffer = suitableBuffer, pPg = pg)
{
// 调用c++接口得到模拟后的数据
SWIGTYPE_p_double result = logistic_patch_ca.logistic_patch_ca1(
a0,
a1,
moorNeighbourSize,
tSpon,
sigma,
height,
width,
new SWIGTYPE_p_double(new IntPtr(pImageBuffer), false),
new SWIGTYPE_p_double(new IntPtr(pSuitableBuffer), false),
new SWIGTYPE_p_double(new IntPtr(pPg), false),
amountOfNewDevelopment,
true);
// 从指针中得到模拟结果，并纵向翻转
IntPtr resultPointer = HandleRef.ToIntPtr(SWIGTYPE_p_double.getCPtr(result));
double *pResultImg = (double *)resultPointer.ToPointer();
double[] resultImg = new double[width * height];
for (int row = 0; row < height; row++)
{
for (int col = 0; col < width; col++)
{
resultImg[row * width + col] = pResultImg[(height - row - 1) * width + col];
}
}
// 新建 GDAL dataset
OSGeo.GDAL.Driver driver = OSGeo.GDAL.Gdal.GetDriverByName("MEM");
OSGeo.GDAL.Dataset dataset = driver.Create("", width, height, 1, OSGeo.GDAL.DataType.GDT_Float64, null);
dataset.WriteRaster(0, 0, width, height, resultImg, width, height, 1, new int[1] {
1
}, 0, 0, 0);
// 将GDAL dataset转化为IRaster数据集
DotSpatial.Data.IRaster raster = GIS.GDAL.RasterConverter.Gdal2DSRaster(dataset, 1);
raster.Name = "Result";
this.Map.Layers.Add(raster);
}
}
}
public override void Close()
{
_dataset.Dispose();
_dataset = null;
}
private void buttonOk_Click(object sender, EventArgs e)
{
int width = 0;
int height = 0;
int times = 0;
double threshold = 0.0;
if (this.comboBoxInitialUrbanImage.SelectedItem == null || this.comboBoxLandSuitable.SelectedItem == null || this.comboBoxPg.SelectedItem == null)
{
MessageBox.Show("清先选择图层");
return;
}
string initialUrbanImageLayerName = this.comboBoxInitialUrbanImage.SelectedItem.ToString();
string pgLayerName = this.comboBoxPg.SelectedItem.ToString();
string landSuitableLayerName = this.comboBoxLandSuitable.SelectedItem.ToString();
try
{
times = Convert.ToInt32(this.textBoxTimes.Text);
threshold = Convert.ToDouble(this.textBoxThreshold.Text);
}
catch
{
MessageBox.Show("请输入正确的times 和 threshold参数");
return;
}
double[] imageBuffer = GetData(initialUrbanImageLayerName, ref width, ref height);
double[] pg = GetData(pgLayerName, ref width, ref height);
double[] suitableBuffer = GetData(landSuitableLayerName, ref width, ref height);
if (imageBuffer == null || pg == null || suitableBuffer == null)
{
MessageBox.Show("图层名无效,图层不是栅格图层,将图层转化为GDAL dataset失败,从GDAL dataset中读取数据失败");
return;
}
unsafe
{
fixed(double *pImageBuffer = imageBuffer, pSuitableBuffer = suitableBuffer, pPg = pg)
{
// 调用c++接口得到模拟后的数据
SWIGTYPE_p_double result = simple_ca.simple_ca_logistic(new SWIGTYPE_p_double(new IntPtr(pImageBuffer), false),
new SWIGTYPE_p_double(new IntPtr(pSuitableBuffer), false),
new SWIGTYPE_p_double(new IntPtr(pPg), false),
width,
height, threshold, times);
//simple_ca.draw_image(new SWIGTYPE_p_double(new IntPtr(pImageBuffer), false), width, height);
//// 从指针中得到模拟结果，并纵向翻转
IntPtr resultPointer = HandleRef.ToIntPtr(SWIGTYPE_p_double.getCPtr(result));
double *pResultImg = (double *)resultPointer.ToPointer();
double[] resultImg = new double[width * height];
for (int row = 0; row < height; row++)
{
for (int col = 0; col < width; col++)
{
resultImg[row * width + col] = pResultImg[(height - row - 1) * width + col];
}
}
// 新建 GDAL dataset
OSGeo.GDAL.Driver driver = OSGeo.GDAL.Gdal.GetDriverByName("MEM");
OSGeo.GDAL.Dataset dataset = driver.Create("", width, height, 1, OSGeo.GDAL.DataType.GDT_Float64, null);
dataset.WriteRaster(0, 0, width, height, resultImg, width, height, 1, new int[1] {
1
}, 0, 0, 0);
// 将GDAL dataset转化为IRaster数据集
DotSpatial.Data.IRaster raster = GIS.GDAL.RasterConverter.Gdal2DSRaster(dataset, 1);
raster.Name = "Result";
this.Map.Layers.Add(raster);
}
}
}
/// <summary>
/// 切分图像||
/// 解决图像过大导致的计算缓慢||
/// 输入图像路径，输出分幅路径||
/// 重叠区根据图像分辨率确定，约为实地100~200米
/// </summary>
/// <param name="inPaht"></param>
/// <returns></returns>
public static List <string> getSubImg(string inPaht)
{
//注册插件
OSGeo.GDAL.Gdal.AllRegister();
OSGeo.GDAL.Driver gdalDriver = OSGeo.GDAL.Gdal.GetDriverByName("HFA");
//读进数据
OSGeo.GDAL.Dataset inDS = OSGeo.GDAL.Gdal.Open(inPaht, OSGeo.GDAL.Access.GA_ReadOnly);
//根据栅格分辨率确定重叠区大小
double[] dsTraansform = new double[6];
inDS.GetGeoTransform(dsTraansform);
if (dsTraansform[1] < 0.16)
{
xBuf = 1000; yBuf = 1000;
} //1000*0.1=>100M
if (dsTraansform[1] < 0.3)
{
xBuf = 500; yBuf = 500;
} //500*0.25=>125M
else if (dsTraansform[1] < 0.6)
{
xBuf = 300; yBuf = 300;
} //300*0.5=>150M
else if (dsTraansform[1] < 1.1)
{
xBuf = 200; yBuf = 150;
} //150*1=>200M
else if (dsTraansform[1] < 2.1)
{
xBuf = 100; yBuf = 100;
} //100*2=>200M
else
{
xBuf = 50; yBuf = 50;
} //50*5=>250M
//获取数据XY相元数量
int oriXcount = inDS.RasterXSize;
int oriYcount = inDS.RasterYSize;
//用来返回的文件路径列表
List <string> imgFilePaths = new List <string>();
if (oriXcount > userSetX || oriYcount > userSetY)
{
//确定文件行列数
int u, v;
u = Convert.ToInt32(Math.Ceiling(Convert.ToDouble(oriXcount) / userSetX)); //行文件数
v = Convert.ToInt32(Math.Ceiling(Convert.ToDouble(oriYcount) / userSetY)); //列文件数
//循环列
for (int i = 0; i < v; i++)
{
//循环行
for (int j = 0; j < u; j++)
{
//////////// 定义起点 /////////////
int offX = j * userSetX;
int offY = i * userSetY;
//////////////定义边缘栅格大小/////////////////
int thinkJ = userSetX * (j + 1) + xBuf;
int thinkI = userSetY * (i + 1) + yBuf;
int subXcount = oriXcount - thinkJ > 0 ? userSetX + xBuf : oriXcount - userSetX * j;
int subYcount = oriYcount - thinkI > 0 ? userSetY + yBuf : oriYcount - userSetY * i;
//////////// 把原栅格读进内存，内容为oriValue /////////////
OSGeo.GDAL.Band oriBand = inDS.GetRasterBand(1);
double[] oriValue = new double[subXcount * subYcount];
oriBand.ReadRaster
(
offX, //起点X索引
offY, //起点Y索引
subXcount, //X方向相元数量
subYcount, //Y方向相元数量
oriValue, //各相元值
subXcount, //执行读入的X方向数量
subYcount, //执行读入的Y方向数量
0, //执行读入的起点X索引
0 //执行读入的起点Y索引
);
//////////// 创建子栅格 /////////////
string imgFilePath = StaticTools.tempFilePath("img", i.ToString() + "_" + j.ToString());
OSGeo.GDAL.Dataset subDs = gdalDriver.Create
(
imgFilePath,
subXcount,
subYcount,
1,
OSGeo.GDAL.DataType.GDT_Float32,
null
);
subDs.SetProjection(inDS.GetProjectionRef());
//获取数据Transfrom
double[] oriTransFrom = new double[6];
inDS.GetGeoTransform(oriTransFrom);
oriTransFrom[0] = oriTransFrom[0] + offX * oriTransFrom[1] + offY * oriTransFrom[2];
oriTransFrom[3] = oriTransFrom[3] + offX * oriTransFrom[4] + offY * oriTransFrom[5];
subDs.SetGeoTransform(oriTransFrom);
//////////// 把值写入子栅格 /////////////
subDs.GetRasterBand(1).WriteRaster
(
0,
0,
subXcount,
subYcount,
oriValue,
subXcount,
subYcount,
0,
0
);
///////////////// 返回子栅格路径 ////////////////////
imgFilePaths.Add(imgFilePath);
subDs.Dispose();
}
}
}
else
{
imgFilePaths.Add(inPaht);
}
inDS.Dispose();
return(imgFilePaths);
}
public static HandleRef getCPtr(Dataset obj)
{
return((obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr);
}
/// <summary>
/// GDAL栅格转换为位图
/// </summary>
/// <param name="ds">GDAL Dataset</param>
/// <param name="showRect">显示区域</param>
/// <param name="bandlist">需要显示的波段列表</param>
/// <returns>返回Bitmap对象</returns>
public Bitmap GetImage(OSGeo.GDAL.Dataset ds, Rectangle showRect, int[] bandlist)
{
int imgWidth = ds.RasterXSize; //影像宽
int imgHeight = ds.RasterYSize; //影像高
float ImgRatio = imgWidth / (float)imgHeight; //影像宽高比
//获取显示控件大小
int BoxWidth = showRect.Width;
int BoxHeight = showRect.Height;
float BoxRatio = imgWidth / (float)imgHeight; //显示控件宽高比
//计算实际显示区域大小，防止影像畸变显示
int BufferWidth, BufferHeight;
if (BoxRatio >= ImgRatio)
{
BufferHeight = BoxHeight;
BufferWidth = (int)(BoxHeight * ImgRatio);
}
else
{
BufferWidth = BoxWidth;
BufferHeight = (int)(BoxWidth / ImgRatio);
}
//构建位图
Bitmap bitmap = new Bitmap(BufferWidth, BufferHeight,
System.Drawing.Imaging.PixelFormat.Format24bppRgb);
if (bandlist.Length == 3) //RGB显示
{
int[] r = new int[BufferWidth * BufferHeight];
Band band1 = ds.GetRasterBand(bandlist[0]);
band1.ReadRaster(0, 0, imgWidth, imgHeight, r, BufferWidth, BufferHeight, 0, 0); //读取图像到内存
//为了显示好看，进行最大最小值拉伸显示
double[] maxandmin1 = { 0, 0 };
band1.ComputeRasterMinMax(maxandmin1, 0);
int[] g = new int[BufferWidth * BufferHeight];
Band band2 = ds.GetRasterBand(bandlist[1]);
band2.ReadRaster(0, 0, imgWidth, imgHeight, g, BufferWidth, BufferHeight, 0, 0);
double[] maxandmin2 = { 0, 0 };
band2.ComputeRasterMinMax(maxandmin2, 0);
int[] b = new int[BufferWidth * BufferHeight];
Band band3 = ds.GetRasterBand(bandlist[2]);
band3.ReadRaster(0, 0, imgWidth, imgHeight, b, BufferWidth, BufferHeight, 0, 0);
double[] maxandmin3 = { 0, 0 };
band3.ComputeRasterMinMax(maxandmin3, 0);
int i, j;
for (i = 0; i < BufferWidth; i++)
{
for (j = 0; j < BufferHeight; j++)
{
int rVal = Convert.ToInt32(r[i + j * BufferWidth]);
rVal = (int)((rVal - maxandmin1[0]) / (maxandmin1[1] - maxandmin1[0]) * 255);
int gVal = Convert.ToInt32(g[i + j * BufferWidth]);
gVal = (int)((gVal - maxandmin2[0]) / (maxandmin2[1] - maxandmin2[0]) * 255);
int bVal = Convert.ToInt32(b[i + j * BufferWidth]);
bVal = (int)((bVal - maxandmin3[0]) / (maxandmin3[1] - maxandmin3[0]) * 255);
Color newColor = Color.FromArgb(rVal, gVal, bVal);
bitmap.SetPixel(i, j, newColor);
}
}
}
else //灰度显示
{
int[] r = new int[BufferWidth * BufferHeight];
Band band1 = ds.GetRasterBand(bandlist[0]);
band1.ReadRaster(0, 0, imgWidth, imgHeight, r, BufferWidth, BufferHeight, 0, 0);
double[] maxandmin1 = { 0, 0 };
band1.ComputeRasterMinMax(maxandmin1, 0);
int i, j;
for (i = 0; i < BufferWidth; i++)
{
for (j = 0; j < BufferHeight; j++)
{
int rVal = Convert.ToInt32(r[i + j * BufferWidth]);
rVal = (int)((rVal - maxandmin1[0]) / (maxandmin1[1] - maxandmin1[0]) * 255);
Color newColor = Color.FromArgb(rVal, rVal, rVal);
bitmap.SetPixel(i, j, newColor);
}
}
}
return(bitmap);
}
private Bitmap ReadArgb(int xOffset, int yOffset, int xSize, int ySize, Band first, Dataset set)
{
if (set.RasterCount < 4)
{
throw new GdalException(
"ARGB Format was indicated but there are only " +
set.RasterCount +
" bands!");
}
Band first_o;
Band red_o;
Band green_o;
Band blue_o;
Band red = set.GetRasterBand(2);
Band green = set.GetRasterBand(3);
Band blue = set.GetRasterBand(4);
int width = xSize;
int height = ySize;
if (first.GetOverviewCount() > 0 && _overview >= 0)
{
first_o = first.GetOverview(_overview);
red_o = red.GetOverview(_overview);
green_o = green.GetOverview(_overview);
blue_o = blue.GetOverview(_overview);
}
else
{
first_o = first;
red_o = red;
green_o = green;
blue_o = blue;
}
if (xOffset + width > first_o.XSize)
{
width = first_o.XSize - xOffset;
}
if (yOffset + height > first_o.YSize)
{
height = first_o.YSize - yOffset;
}
Bitmap result = new Bitmap(width, height, PixelFormat.Format32bppArgb);
byte[] a = new byte[width * height];
byte[] r = new byte[width * height];
byte[] g = new byte[width * height];
byte[] b = new byte[width * height];
first_o.ReadRaster(0, 0, width, height, a, width, height, 0, 0);
red_o.ReadRaster(0, 0, width, height, r, width, height, 0, 0);
green_o.ReadRaster(0, 0, width, height, g, width, height, 0, 0);
blue_o.ReadRaster(0, 0, width, height, b, width, height, 0, 0);
// Alpha disposed in caller
red.Dispose();
green.Dispose();
blue.Dispose();
BitmapData bData =
result.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.ReadWrite,
PixelFormat.Format32bppArgb);
int stride = Math.Abs(bData.Stride);
byte[] vals = new byte[height * stride];
for (int row = 0; row < height; row++)
{
for (int col = 0; col < width; col++)
{
vals[row * stride + col * 4] =
b[row * width + col];
vals[row * stride + col * 4 + 1] =
g[row * width + col];
vals[row * stride + col * 4 + 2] =
r[row * width + col];
vals[row * stride + col * 4 + 3] =
a[row * width + col];
}
}
Marshal.Copy(vals, 0, bData.Scan0, vals.Length);
result.UnlockBits(bData);
return result;
}
public Transformer(Dataset src, Dataset dst, string[] options) : this(GdalPINVOKE.new_Transformer(Dataset.getCPtr(src), Dataset.getCPtr(dst), (options != null)? new GdalPINVOKE.StringListMarshal(options)._ar : null), true, null)
{
if (GdalPINVOKE.SWIGPendingException.Pending)
{
throw GdalPINVOKE.SWIGPendingException.Retrieve();
}
}
// add image pixels to the map
#if !DotSpatialProjections
protected virtual void GetPreview(Dataset dataset, Size size, Graphics g,
Envelope displayBbox, ICoordinateSystem mapProjection, Map map)
private bool NeedRotation(Dataset dataset)
{
if (UseRotation)
return true;
if (Transform != null)
return true;
if (HaveSpot)
return true;
var geoTransform = new GeoTransform(dataset);
return geoTransform.IsScaling || geoTransform.IsRotating;
}
public override void CloseFile()
{
if (dataset != null)
{
dataset.Dispose();
dataset = null;
}
}
private void GetNonRotatedPreview(Dataset dataset, Size size, Graphics g,
Envelope bbox, ProjectionInfo mapProjection)
#endif
{
double[] geoTrans = new double[6];
dataset.GetGeoTransform(geoTrans);
// default transform
if (!_useRotation && !HaveSpot || (geoTrans[0] == 0 && geoTrans[3] == 0))
geoTrans = new[] { 999.5, 1, 0, 1000.5, 0, -1 };
Bitmap bitmap = null;
var geoTransform = new GeoTransform(geoTrans);
int DsWidth = 0;
int DsHeight = 0;
BitmapData bitmapData = null;
double[] intVal = new double[Bands];
int p_indx;
double bitScalar = 1.0;
double dblImginMapW = 0, dblImginMapH = 0, dblLocX = 0, dblLocY = 0;
int iPixelSize = 3; //Format24bppRgb = byte[b,g,r]
if (dataset != null)
{
//check if image is in bounding box
if ((bbox.MinX > _envelope.MaxX) || (bbox.MaxX < _envelope.MinX)
|| (bbox.MaxY < _envelope.MinY) || (bbox.MinY > _envelope.MaxY))
return;
DsWidth = _imageSize.Width;
DsHeight = _imageSize.Height;
Histogram = new List<int[]>();
for (int i = 0; i < Bands + 1; i++)
Histogram.Add(new int[256]);
double left = Math.Max(bbox.MinX, _envelope.MinX);
double top = Math.Min(bbox.MaxY, _envelope.MaxY);
double right = Math.Min(bbox.MaxX, _envelope.MaxX);
double bottom = Math.Max(bbox.MinY, _envelope.MinY);
double x1 = Math.Abs(geoTransform.PixelX(left));
double y1 = Math.Abs(geoTransform.PixelY(top));
double imgPixWidth = geoTransform.PixelXwidth(right - left);
double imgPixHeight = geoTransform.PixelYwidth(bottom - top);
//get screen pixels image should fill
double dblBBoxW = bbox.Width;
double dblBBoxtoImgPixX = imgPixWidth / dblBBoxW;
dblImginMapW = size.Width * dblBBoxtoImgPixX * geoTransform.HorizontalPixelResolution;
double dblBBoxH = bbox.Height;
double dblBBoxtoImgPixY = imgPixHeight / dblBBoxH;
dblImginMapH = size.Height * dblBBoxtoImgPixY * -geoTransform.VerticalPixelResolution;
if ((dblImginMapH == 0) || (dblImginMapW == 0))
return;
// ratios of bounding box to image ground space
double dblBBoxtoImgX = size.Width / dblBBoxW;
double dblBBoxtoImgY = size.Height / dblBBoxH;
// set where to display bitmap in Map
if (bbox.MinX != left)
{
if (bbox.MaxX != right)
dblLocX = (_envelope.MinX - bbox.MinX) * dblBBoxtoImgX;
else
dblLocX = size.Width - dblImginMapW;
}
if (bbox.MaxY != top)
{
if (bbox.MinY != bottom)
dblLocY = (bbox.MaxY - _envelope.MaxY) * dblBBoxtoImgY;
else
dblLocY = size.Height - dblImginMapH;
}
bitScalar = GetBitScalar();
try
{
bitmap = new Bitmap((int)Math.Round(dblImginMapW), (int)Math.Round(dblImginMapH),
PixelFormat.Format24bppRgb);
bitmapData =
bitmap.LockBits(
new Rectangle(0, 0, (int)Math.Round(dblImginMapW), (int)Math.Round(dblImginMapH)),
ImageLockMode.ReadWrite, bitmap.PixelFormat);
byte cr = _noDataInitColor.R;
byte cg = _noDataInitColor.G;
byte cb = _noDataInitColor.B;
//
Double[] noDataValues = new Double[Bands];
Double[] scales = new Double[Bands];
ColorTable colorTable = null;
unsafe
{
double[][] buffer = new double[Bands][];
Band[] band = new Band[Bands];
int[] ch = new int[Bands];
// get data from image
for (int i = 0; i < Bands; i++)
{
buffer[i] = new double[(int)Math.Round(dblImginMapW) * (int)Math.Round(dblImginMapH)];
band[i] = dataset.GetRasterBand(i + 1);
//get nodata value if present
Int32 hasVal = 0;
band[i].GetNoDataValue(out noDataValues[i], out hasVal);
if (hasVal == 0) noDataValues[i] = Double.NaN;
band[i].GetScale(out scales[i], out hasVal);
if (hasVal == 0) scales[i] = 1.0;
band[i].ReadRaster((int)Math.Round(x1), (int)Math.Round(y1), (int)Math.Round(imgPixWidth),
(int)Math.Round(imgPixHeight),
buffer[i], (int)Math.Round(dblImginMapW), (int)Math.Round(dblImginMapH),
0, 0);
switch (band[i].GetRasterColorInterpretation())
{
case ColorInterp.GCI_BlueBand:
ch[i] = 0;
break;
case ColorInterp.GCI_GreenBand:
ch[i] = 1;
break;
case ColorInterp.GCI_RedBand:
ch[i] = 2;
break;
case ColorInterp.GCI_Undefined:
if (Bands > 1)
ch[i] = 3; // infrared
else
{
ch[i] = 4;
if (_colorBlend == null)
{
Double dblMin, dblMax;
band[i].GetMinimum(out dblMin, out hasVal);
if (hasVal == 0) dblMin = Double.NaN;
band[i].GetMaximum(out dblMax, out hasVal);
if (hasVal == 0) dblMax = double.NaN;
if (Double.IsNaN(dblMin) || Double.IsNaN(dblMax))
{
double dblMean, dblStdDev;
band[i].GetStatistics(0, 1, out dblMin, out dblMax, out dblMean, out dblStdDev);
//double dblRange = dblMax - dblMin;
//dblMin -= 0.1*dblRange;
//dblMax += 0.1*dblRange;
}
Single[] minmax = new float[] { Convert.ToSingle(dblMin), 0.5f * Convert.ToSingle(dblMin + dblMax), Convert.ToSingle(dblMax) };
Color[] colors = new Color[] { Color.Blue, Color.Yellow, Color.Red };
_colorBlend = new ColorBlend(colors, minmax);
}
intVal = new Double[3];
}
break;
case ColorInterp.GCI_GrayIndex:
ch[i] = 0;
break;
case ColorInterp.GCI_PaletteIndex:
colorTable = band[i].GetRasterColorTable();
ch[i] = 5;
intVal = new Double[3];
break;
default:
ch[i] = -1;
break;
}
}
if (BitDepth == 32)
ch = new[] { 0, 1, 2 };
p_indx = 0;
for (int y = 0; y < Math.Round(dblImginMapH); y++)
{
byte* row = (byte*)bitmapData.Scan0 + (y * bitmapData.Stride);
for (int x = 0; x < Math.Round(dblImginMapW); x++, p_indx++)
{
for (int i = 0; i < Bands; i++)
{
intVal[i] = buffer[i][p_indx]/bitScalar;
Double imageVal = intVal[i] = intVal[i]/bitScalar;
if (ch[i] == 4)
{
if (imageVal != noDataValues[i])
{
Color color = _colorBlend.GetColor(Convert.ToSingle(imageVal));
intVal[0] = color.B;
intVal[1] = color.G;
intVal[2] = color.R;
//intVal[3] = ce.c4;
}
else
{
intVal[0] = cb;
intVal[1] = cg;
intVal[2] = cr;
}
}
else if (ch[i] == 5 && colorTable != null)
{
if (imageVal != noDataValues[i])
{
ColorEntry ce = colorTable.GetColorEntry(Convert.ToInt32(imageVal));
intVal[0] = ce.c3;
intVal[1] = ce.c2;
intVal[2] = ce.c1;
//intVal[3] = ce.c4;
}
else
{
intVal[0] = cb;
intVal[1] = cg;
intVal[2] = cr;
}
}
else
{
if (ColorCorrect)
{
intVal[i] = ApplyColorCorrection(intVal[i], 0, ch[i], 0, 0);
if (Bands >= 3)
Histogram[Bands][
(int) (intVal[2]*0.2126 + intVal[1]*0.7152 + intVal[0]*0.0722)]++;
}
}
if (intVal[i] > 255)
intVal[i] = 255;
}
WritePixel(x, intVal, iPixelSize, ch, row);
}
}
}
}
catch
{
return;
}
finally
{
if (bitmapData != null)
bitmap.UnlockBits(bitmapData);
}
}
if (TransparentColor != Color.Empty)
bitmap.MakeTransparent(TransparentColor);
g.DrawImage(bitmap, new Point((int)Math.Round(dblLocX), (int)Math.Round(dblLocY)));
}
/// <summary>
/// This opens the raster file and uses the gdal sharp wrapper to create the main dataobject which it stores in the RasterImg field.
/// </summary>
public void OpenFile()
{
RasterImg = Gdal.Open(filename, Access.GA_ReadOnly);
}
protected override void ReleaseManagedResources()
{
_factory = null;
//_geoTransform = null;
_gdalDataset.Dispose();
_gdalDataset = null;
base.ReleaseManagedResources();
}
/// <inheritdocs/>
protected override void Dispose(bool disposeManagedResources)
{
// All class variables are unmanaged.
if (_dataset != null)
{
try
{
_dataset.FlushCache();
}
catch (Exception e)
{
System.Console.WriteLine(e.Message);
}
_dataset.Dispose();
}
_dataset = null;
if (_image != null)
{
_image.Dispose();
}
_image = null;
if (_red != null)
{
_red.Dispose();
}
_red = null;
if (_blue != null)
{
_blue.Dispose();
}
_blue = null;
if (_green != null)
{
_green.Dispose();
}
_green = null;
if (_alpha != null)
{
_alpha.Dispose();
}
_alpha = null;
base.Dispose(disposeManagedResources);
}
protected virtual void GetPreview(Dataset dataset, Size size, Graphics g,
Envelope displayBbox, ProjectionInfo mapProjection, Map map)
#endif
{
if (!NeedRotation(dataset))
{
GetNonRotatedPreview(dataset, size, g, displayBbox, mapProjection);
return;
}
var geoTransform = new GeoTransform(dataset);
Bitmap bitmap = null;
var bitmapTL = new Point();
//Coordinate imageTL = new Coordinate(), imageBR = new Coordinate();
//int bitmapWidth, bitmapHeight;
var bitmapSize = new Size();
const int pixelSize = 3; //Format24bppRgb = byte[b,g,r]
if (dataset != null)
{
//check if image is in bounding box
if ((displayBbox.MinX > _envelope.MaxX) || (displayBbox.MaxX < _envelope.MinX)
|| (displayBbox.MaxY < _envelope.MinY) || (displayBbox.MinY > _envelope.MaxY))
return;
// init histo
Histogram = new List<int[]>();
for (int i = 0; i < Bands + 1; i++)
Histogram.Add(new int[256]);
// bounds of section of image to be displayed
//var left = Math.Max(displayBbox.MinX, _envelope.MinX);
//var top = Math.Min(displayBbox.MaxY, _envelope.MaxY);
//var right = Math.Min(displayBbox.MaxX, _envelope.MaxX);
//var bottom = Math.Max(displayBbox.MinY, _envelope.MinY);
var trueImageBbox = displayBbox.Intersection(_envelope);
// put display bounds into current projection
Envelope shownImageBbox;
if (Transform != null)
{
#if !DotSpatialProjections
Transform.MathTransform.Invert();
shownImageBbox = GeometryTransform.TransformBox(trueImageBbox, Transform.MathTransform);
Transform.MathTransform.Invert();
#else
shownImageBbox = GeometryTransform.TransformBox(trueImageBbox, _transform.Source, _transform.Target);
#endif
}
else
{
shownImageBbox = trueImageBbox;
}
// find min/max x and y pixels needed from image
var g2i = geoTransform.GroundToImage(shownImageBbox).Intersection(new Envelope(0, _imageSize.Width, 0, _imageSize.Height));
var gdalImageRect = ToRectangle(g2i);
var displayImageSize = gdalImageRect.Size;
//// find ground coordinates of image pixels
//var groundBR = geoTransform.ImageToGround(imageBR);
//var groundTL = geoTransform.ImageToGround(imageTL);
// convert ground coordinates to map coordinates to figure out where to place the bitmap
var bitmapBR = new Point((int)map.WorldToImage(trueImageBbox.BottomRight()).X + 1,
(int)map.WorldToImage(trueImageBbox.BottomRight()).Y + 1);
bitmapTL = new Point((int)map.WorldToImage(trueImageBbox.TopLeft()).X,
(int)map.WorldToImage(trueImageBbox.TopLeft()).Y);
bitmapSize.Width = bitmapBR.X - bitmapTL.X;
bitmapSize.Height = bitmapBR.Y - bitmapTL.Y;
// check to see if image is on its side
if (bitmapSize.Width > bitmapSize.Height && displayImageSize.Width < displayImageSize.Height)
{
displayImageSize.Width = bitmapSize.Height;
displayImageSize.Height = bitmapSize.Width;
}
else
{
displayImageSize.Width = bitmapSize.Width;
displayImageSize.Height = bitmapSize.Height;
}
// scale
var bitScalar = GetBitScalar();
// 0 pixels in length or height, nothing to display
if (bitmapSize.Width < 1 || bitmapSize.Height < 1)
return;
//initialize bitmap
BitmapData bitmapData;
bitmap = InitializeBitmap(bitmapSize, PixelFormat.Format24bppRgb, out bitmapData);
/*
bitmap = new Bitmap(bitmapLength, bitmapHeight, PixelFormat.Format24bppRgb);
BitmapData bitmapData = bitmap.LockBits(new Rectangle(0, 0, bitmapLength, bitmapHeight),
ImageLockMode.ReadWrite, bitmap.PixelFormat);
*/
try
{
unsafe
{
var cr = _noDataInitColor.R;
var cg = _noDataInitColor.G;
var cb = _noDataInitColor.B;
/* functionality moved to InitializeBitmap
// turn everything to _noDataInitColor, so we can make fill transparent
for (int y = 0; y < bitmapHeight; y++)
{
byte* brow = (byte*)bitmapData.Scan0 + (y * bitmapData.Stride);
for (int x = 0; x < bitmapLength; x++)
{
Int32 offsetX = x * 3;
brow[offsetX++] = cb;
brow[offsetX++] = cg;
brow[offsetX] = cr;
}
}
*/
// create 3 dimensional buffer [band][x pixel][y pixel]
//var tempBuffer = new double[Bands][];
var buffer = new double[Bands][][];
for (int i = 0; i < Bands; i++)
{
buffer[i] = new double[displayImageSize.Width][];
for (var j = 0; j < displayImageSize.Width; j++)
buffer[i][j] = new double[displayImageSize.Height];
}
//Band[] band = new Band[Bands];
var ch = new int[Bands];
//
var noDataValues = new Double[Bands];
var scales = new Double[Bands];
ColorTable colorTable = null;
var imageRect = gdalImageRect;
ColorBlend colorBlend = null;
var intermediateValue = new double[Bands];
// get data from image
for (var i = 0; i < Bands; i++)
{
using (var band = dataset.GetRasterBand(i + 1))
{
int hasVal;
//get nodata value if present
band.GetNoDataValue(out noDataValues[i], out hasVal);
if (hasVal == 0) noDataValues[i] = Double.NaN;
//Get the scale value if present
band.GetScale(out scales[i], out hasVal);
if (hasVal == 0) scales[i] = 1.0;
switch (band.GetRasterColorInterpretation())
{
case ColorInterp.GCI_BlueBand:
ch[i] = 0;
break;
case ColorInterp.GCI_GreenBand:
ch[i] = 1;
break;
case ColorInterp.GCI_RedBand:
ch[i] = 2;
break;
case ColorInterp.GCI_Undefined:
if (Bands > 1)
ch[i] = 3; // infrared
else
{
ch[i] = 4;
colorBlend = GetColorBlend(band);
intermediateValue = new Double[3];
}
break;
case ColorInterp.GCI_GrayIndex:
ch[i] = 0;
break;
case ColorInterp.GCI_PaletteIndex:
if (colorTable != null)
{
//this should not happen
colorTable.Dispose();
}
colorTable = band.GetRasterColorTable();
ch[i] = 5;
intermediateValue = new Double[3];
break;
default:
ch[i] = -1;
break;
}
}
}
// store these values to keep from having to make slow method calls
var bitmapTLX = bitmapTL.X;
var bitmapTLY = bitmapTL.Y;
double imageTop = g2i.MinY;
double imageLeft = g2i.MinX;
double dblMapPixelWidth = map.PixelWidth;
double dblMapPixelHeight = map.PixelHeight;
double dblMapMinX = map.Envelope.MinX;
double dblMapMaxY = map.Envelope.MaxY;
// get inverse values
var geoTop = geoTransform.Inverse[3];
var geoLeft = geoTransform.Inverse[0];
var geoHorzPixRes = geoTransform.Inverse[1];
var geoVertPixRes = geoTransform.Inverse[5];
var geoXRot = geoTransform.Inverse[2];
var geoYRot = geoTransform.Inverse[4];
var dblXScale = (g2i.Width) / (displayImageSize.Width - 1);
var dblYScale = (g2i.Height) / (displayImageSize.Height - 1);
// get inverse transform
// NOTE: calling transform.MathTransform.Inverse() once and storing it
// is much faster than having to call every time it is needed
#if !DotSpatialProjections
IMathTransform inverseTransform = null;
if (Transform != null)
inverseTransform = Transform.MathTransform.Inverse();
#endif
var rowsRead = 0;
var displayImageStep = displayImageSize.Height;
while (rowsRead < displayImageSize.Height)
{
var rowsToRead = displayImageStep;
if (rowsRead + rowsToRead > displayImageSize.Height)
rowsToRead = displayImageSize.Height - rowsRead;
var tempBuffer = new double[displayImageSize.Width * rowsToRead];
for (var i = 0; i < Bands; i++)
{
// read the buffer
using (var band = dataset.GetRasterBand(i + 1))
{
band.ReadRaster(imageRect.Left, imageRect.Top,
imageRect.Width, imageRect.Height,
tempBuffer, displayImageSize.Width, rowsToRead, 0, 0);
}
// parse temp buffer into the image x y value buffer
long pos = 0;
var newRowsRead = rowsRead + rowsToRead;
for (var y = rowsRead; y < newRowsRead; y++)
{
for (var x = 0; x < displayImageSize.Width; x++)
{
buffer[i][x][y] = tempBuffer[pos++];
}
}
}
rowsRead = rowsRead + rowsToRead;
for (var pixY = 0d; pixY < bitmapBR.Y - bitmapTL.Y; pixY++)
{
var row = (byte*) bitmapData.Scan0 + ((int) Math.Round(pixY)*bitmapData.Stride);
for (var pixX = 0; pixX < bitmapBR.X - bitmapTL.X; pixX++)
{
// same as Map.ImageToGround(), but much faster using stored values...rather than called each time
var gndX = dblMapMinX + (pixX + bitmapTLX)*dblMapPixelWidth;
var gndY = dblMapMaxY - (pixY + bitmapTLY)*dblMapPixelHeight;
// transform ground point if needed
if (Transform != null)
{
#if !DotSpatialProjections
var dblPoint = inverseTransform.Transform(new[] {gndX, gndY});
#else
dblPoint = new double[] { GndX, GndY };
Reproject.ReprojectPoints(dblPoint, null, _transform.Source, _transform.Target, 0, 1);
#endif
gndX = dblPoint[0];
gndY = dblPoint[1];
}
// same as GeoTransform.GroundToImage(), but much faster using stored values...
var imageCoord = new Coordinate(
geoLeft + geoHorzPixRes*gndX + geoXRot*gndY,
geoTop + geoYRot*gndX + geoVertPixRes*gndY);
if (!g2i.Contains(imageCoord))
continue;
var imagePt = new Point((int)((imageCoord.X - imageLeft) / dblXScale),
(int)((imageCoord.Y - imageTop) / dblYScale));
// Apply color correction
for (var i = 0; i < Bands; i++)
{
intermediateValue[i] = buffer[i][imagePt.X][imagePt.Y];
// apply scale
intermediateValue[i] *= scales[i];
double spotVal;
var imageVal = spotVal = intermediateValue[i] = intermediateValue[i]/bitScalar;
if (ch[i] == 4)
{
if (imageVal != noDataValues[i])
{
var color = colorBlend.GetColor(Convert.ToSingle(imageVal));
intermediateValue[0] = color.B;
intermediateValue[1] = color.G;
intermediateValue[2] = color.R;
//intVal[3] = ce.c4;
}
else
{
intermediateValue[0] = cb;
intermediateValue[1] = cg;
intermediateValue[2] = cr;
}
}
else if (ch[i] == 5 && colorTable != null)
{
if (imageVal != noDataValues[i])
{
using (var ce = colorTable.GetColorEntry(Convert.ToInt32(imageVal)))
{
intermediateValue[0] = ce.c3;
intermediateValue[1] = ce.c2;
intermediateValue[2] = ce.c1;
//intVal[3] = ce.c4;
}
}
else
{
intermediateValue[0] = cb;
intermediateValue[1] = cg;
intermediateValue[2] = cr;
}
}
else
{
if (ColorCorrect)
{
intermediateValue[i] = ApplyColorCorrection(imageVal, spotVal, ch[i],
gndX,
gndY);
// if pixel is within ground boundary, add its value to the histogram
if (ch[i] != -1 && intermediateValue[i] > 0 &&
(HistoBounds.Bottom >= (int) gndY) &&
HistoBounds.Top <= (int) gndY &&
HistoBounds.Left <= (int) gndX && HistoBounds.Right >= (int) gndX)
{
Histogram[ch[i]][(int) intermediateValue[i]]++;
}
}
if (intermediateValue[i] > 255)
intermediateValue[i] = 255;
}
}
// luminosity
if (Bands >= 3)
Histogram[Bands][
(int)
(intermediateValue[2]*0.2126 + intermediateValue[1]*0.7152 +
intermediateValue[0]*0.0722)]
++;
WritePixel(pixX, intermediateValue, pixelSize, ch, row);
}
}
}
if (colorTable != null)
{
colorTable.Dispose();
}
}
}
finally
{
bitmap.UnlockBits(bitmapData);
}
}
//using (var ia = new ImageAttributes())
//{
// var colorMap = new[]
// {
// new ColorMap {OldColor = _noDataInitColor, NewColor = Color.Transparent},
// new ColorMap {OldColor = TransparentColor, NewColor = Color.Transparent}
// };
//
// ia.SetRemapTable(colorMap, ColorAdjustType.Bitmap);
bitmap.MakeTransparent(_noDataInitColor);
if (TransparentColor != Color.Empty)
bitmap.MakeTransparent(TransparentColor);
g.DrawImage(bitmap, bitmapTL);
//}
}
/// <summary>
/// Attempts to open the specified file into memory.
/// </summary>
public override void Open()
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_Update);
}
catch
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_ReadOnly);
}
catch (Exception ex)
{
throw new GdalException(ex.ToString());
}
}
int numBands = _dataset.RasterCount;
_red = _dataset.GetRasterBand(1);
this.BandType = ImageBandType.RGB;
for (int i = 1; i <= numBands; i++)
{
Band tempBand = _dataset.GetRasterBand(i);
if (tempBand.GetRasterColorInterpretation() == ColorInterp.GCI_GrayIndex)
{
this.BandType = ImageBandType.Gray;
_red = tempBand;
}
if (tempBand.GetRasterColorInterpretation() == ColorInterp.GCI_PaletteIndex)
{
this.BandType = ImageBandType.PalletCoded;
_red = tempBand;
}
if (tempBand.GetRasterColorInterpretation() == ColorInterp.GCI_RedBand)
{
_red = tempBand;
}
if (tempBand.GetRasterColorInterpretation() == ColorInterp.GCI_AlphaBand)
{
_alpha = tempBand;
this.BandType = ImageBandType.ARGB;
}
else if (tempBand.GetRasterColorInterpretation() == ColorInterp.GCI_BlueBand)
{
_blue = tempBand;
}
else if (tempBand.GetRasterColorInterpretation() == ColorInterp.GCI_GreenBand)
{
_green = tempBand;
}
}
/*
if (this.BandType == ImageBandType.PalletCoded)
{
ReadPaletteBuffered();
}
else if (this.BandType == ImageBandType.Gray)
{
ReadGrayIndex();
}
else if (this.BandType == ImageBandType.ARGB)
{
ReadArgb();
}
else if (this.BandType == ImageBandType.RGB)
{
ReadRgb();
}*/
}
/// <summary>
/// This is only used in the palette indexed band type.
/// </summary>
public override IEnumerable<Color> GetColorPalette()
{
if (ColorPalette == null)
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_Update);
}
catch
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_ReadOnly);
}
catch (Exception ex)
{
throw new GdalException(ex.ToString());
}
}
Band first = _dataset.GetRasterBand(1);
ColorTable ct = first.GetRasterColorTable();
int count = ct.GetCount();
List<Color> result = new List<Color>();
for (int i = 0; i < count; i++)
{
ColorEntry ce = ct.GetColorEntry(i);
result.Add(Color.FromArgb(ce.c4, ce.c1, ce.c2, ce.c3));
}
ColorPalette = result;
}
return ColorPalette;
}
/// <summary>
/// This should update the palette cached and in the file.
/// </summary>
/// <param name="value"></param>
public override void SetColorPalette(IEnumerable<Color> value)
{
ColorPalette = value;
_dataset = Gdal.Open(Filename, Access.GA_Update);
ColorTable ct = new ColorTable(PaletteInterp.GPI_RGB);
int index = 0;
foreach (Color c in value)
{
ColorEntry ce = new ColorEntry();
ce.c4 = c.A;
ce.c3 = c.B;
ce.c2 = c.G;
ce.c1 = c.R;
ct.SetColorEntry(index, ce);
index++;
}
using (Band first = _dataset.GetRasterBand(1))
{
first.SetRasterColorTable(ct);
}
}
public override void OpenFile(string path, FileType fileType)
{
try
{
Gdal.AllRegister();
}
catch (Exception e)
{
throw new ApplicationException("GDAL libraries missing!", e);
}
Gdal.SetConfigOption("NODATA_value", "-9999");
dataset = Gdal.Open(path, Access.GA_ReadOnly);
info = new GDAL_Info(dataset);
}
/// <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);
}
}
/// <summary>
/// Attempts to open the specified file.
/// </summary>
public override void Open()
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_Update);
}
catch
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_ReadOnly);
}
catch (Exception ex)
{
throw new GdalException(ex.ToString());
}
}
_red = _dataset.GetRasterBand(1);
if (_red.GetRasterColorInterpretation() == ColorInterp.GCI_PaletteIndex)
{
ReadPaletteBuffered();
}
if (_red.GetRasterColorInterpretation() == ColorInterp.GCI_GrayIndex)
{
ReadGrayIndex();
}
if (_red.GetRasterColorInterpretation() == ColorInterp.GCI_RedBand)
{
ReadRGB();
}
if (_red.GetRasterColorInterpretation() == ColorInterp.GCI_AlphaBand)
{
ReadARGB();
}
}
//变化检测
private void ChangeDetectionToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
//选择第一张影像
FrmImgSelect FIS1 = new FrmImgSelect(Images, "变化检测 - 选择变化前影像...");
if (FIS1.ShowDialog(this) == DialogResult.OK)
{
//选择第二张影像
FrmImgSelect FIS2 = new FrmImgSelect(Images, "变化检测 - 选择变化后影像...");
if (FIS2.ShowDialog(this) == DialogResult.OK)
{
//选择差值影像导出位置
FrmExport E1 = new FrmExport("选择差值计算结果存储位置。");
if (E1.ShowDialog(this) == DialogResult.OK)
{
//选择比值影像导出位置
FrmExport E2 = new FrmExport("选择比值计算结果存储位置。");
if (E2.ShowDialog(this) == DialogResult.OK)
{
string tmpD1Gray = Tools.Common.GetTempFileName();
string tmpD2Gray = Tools.Common.GetTempFileName();
string tmpMinus = Tools.Common.GetTempFileName();
string tmpDivide = Tools.Common.GetTempFileName();
bool divSucc = false;
bool minusSucc = false;
//灰度化
if (Tools.Common.RGB2GrayScale(FIS1.SelectedImg, new double[3] {
0.299, 0.587, 0.114
}, DataType.GDT_Float32, tmpD1Gray))
{
OSGeo.GDAL.Dataset tmpD1GrayDS = OSGeo.GDAL.Gdal.Open(tmpD1Gray, OSGeo.GDAL.Access.GA_ReadOnly);
if (Tools.Common.RGB2GrayScale(FIS2.SelectedImg, new double[3] {
0.299, 0.587, 0.114
}, DataType.GDT_Float32, tmpD2Gray))
{
OSGeo.GDAL.Dataset tmpD2GrayDS = OSGeo.GDAL.Gdal.Open(tmpD2Gray, OSGeo.GDAL.Access.GA_ReadOnly);
//相减
if (Tools.BaseProcess.Minus(tmpD2GrayDS, tmpD1GrayDS, DataType.GDT_Float32, tmpMinus))
{
OSGeo.GDAL.Dataset tmpMinusDS = OSGeo.GDAL.Gdal.Open(tmpMinus, OSGeo.GDAL.Access.GA_ReadOnly);
if (Tools.ImageSplit.Binarize(tmpMinusDS, Tools.ImageSplit.IterateThreshold(tmpMinusDS), 0, 1, E1.OutDataType, E1.OutPath))
{
minusSucc = true;
}
tmpMinusDS.Dispose();
if (File.Exists(tmpMinus))
{
File.Delete(tmpMinus);
}
}
//相除
if (Tools.BaseProcess.Divide(tmpD2GrayDS, tmpD1GrayDS, DataType.GDT_Float32, tmpDivide))
{
OSGeo.GDAL.Dataset tmpDivideDS = OSGeo.GDAL.Gdal.Open(tmpDivide, OSGeo.GDAL.Access.GA_ReadOnly);
if (Tools.ImageSplit.Binarize(tmpDivideDS, Tools.ImageSplit.IterateThreshold(tmpDivideDS), 0, 1, E2.OutDataType, E2.OutPath))
{
divSucc = true;
}
tmpDivideDS.Dispose();
if (File.Exists(tmpDivide))
{
File.Delete(tmpDivide);
}
}
tmpD2GrayDS.Dispose();
if (File.Exists(tmpD2Gray))
{
File.Delete(tmpD2Gray);
}
}
tmpD1GrayDS.Dispose();
if (File.Exists(tmpD1Gray))
{
File.Delete(tmpD1Gray);
}
}
if (minusSucc)
{
CheckFile(E1.OutPath);
ManageTreeView();
}
if (divSucc)
{
CheckFile(E2.OutPath);
ManageTreeView();
}
}
E2.Dispose();
}
E1.Dispose();
}
FIS2.Dispose();
}
FIS1.Dispose();
}
catch (Exception err)
{
MessageBox.Show(err.ToString());
}
}
/// <summary>
/// Saves a bitmap of data as a continuous block into the specified location.
/// This always writes to the base image, and not the overviews.
/// </summary>
/// <param name="value">The bitmap value to save.</param>
/// <param name="xOffset">The zero based integer column offset from the left</param>
/// <param name="yOffset">The zero based integer row offset from the top</param>
public override void WriteBlock(Bitmap value, int xOffset, int yOffset)
{
if (_dataset == null)
{
// This will fail if write access is not allowed, but just pass the
// exception back up the stack.
_dataset = Gdal.Open(Filename, Access.GA_Update);
}
Band first = _dataset.GetRasterBand(1);
if (BandType == ImageBandType.PalletCoded)
{
WritePaletteBuffered(value, xOffset, yOffset, first);
}
if (BandType == ImageBandType.Gray)
{
WriteGrayIndex(value, xOffset, yOffset, first);
}
if (BandType == ImageBandType.RGB)
{
WriteRgb(value, xOffset, yOffset, first, _dataset);
}
if (BandType == ImageBandType.ARGB)
{
WriteArgb(value, xOffset, yOffset, first, _dataset);
}
first.Dispose();
}
public Dataset CreateCopy(string utf8_path, Dataset src, int strict, string[] options, Gdal.GDALProgressFuncDelegate callback, string callback_data)
{
IntPtr cPtr = GdalPINVOKE.Driver_CreateCopy(swigCPtr, Gdal.StringToUtf8Bytes(utf8_path), Dataset.getCPtr(src), strict, (options != null)? new GdalPINVOKE.StringListMarshal(options)._ar : null, callback, callback_data);
Dataset ret = (cPtr == IntPtr.Zero) ? null : new Dataset(cPtr, true, ThisOwn_true());
if (GdalPINVOKE.SWIGPendingException.Pending)
{
throw GdalPINVOKE.SWIGPendingException.Retrieve();
}
return(ret);
}
public Transformer(Dataset src, Dataset dst, string[] options)
: this(GdalPINVOKE.new_Transformer(Dataset.getCPtr(src), Dataset.getCPtr(dst), (options != null)? new GdalPINVOKE.StringListMarshal(options)._ar : null), true, null)
{
if (GdalPINVOKE.SWIGPendingException.Pending) throw GdalPINVOKE.SWIGPendingException.Retrieve();
}
/// <summary>
/// Gets a block of data directly, converted into a bitmap. This always writes
/// to the base layer, not the overviews.
/// </summary>
/// <param name="xOffset">The zero based integer column offset from the left</param>
/// <param name="yOffset">The zero based integer row offset from the top</param>
/// <param name="xSize">The integer number of pixel columns in the block. </param>
/// <param name="ySize">The integer number of pixel rows in the block.</param>
/// <returns>A Bitmap that is xSize, ySize.</returns>
public override Bitmap ReadBlock(int xOffset, int yOffset, int xSize, int ySize)
{
if (_dataset == null)
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_Update);
}
catch
{
try
{
_dataset = Gdal.Open(Filename, Access.GA_ReadOnly);
}
catch (Exception ex)
{
throw new GdalException(ex.ToString());
}
}
}
Band first = _dataset.GetRasterBand(1);
Bitmap result = null;
if (first.GetRasterColorInterpretation() == ColorInterp.GCI_PaletteIndex)
{
result = ReadPaletteBuffered(xOffset, yOffset, xSize, ySize, first);
}
if (first.GetRasterColorInterpretation() == ColorInterp.GCI_GrayIndex)
{
result = ReadGrayIndex(xOffset, yOffset, xSize, ySize, first);
}
if (first.GetRasterColorInterpretation() == ColorInterp.GCI_RedBand)
{
result = ReadRgb(xOffset, yOffset, xSize, ySize, first, _dataset);
}
if (first.GetRasterColorInterpretation() == ColorInterp.GCI_AlphaBand)
{
result = ReadArgb(xOffset, yOffset, xSize, ySize, first, _dataset);
}
first.Dispose();
// data set disposed on disposing this image
return result;
}
