private static IDoubleArray GetDoubleArray([NotNull] IEnumerable <double> values)
{
Assert.ArgumentNotNull(values, nameof(values));
IDoubleArray result = new DoubleArrayClass();
foreach (double distance in values)
{
result.Add(distance);
}
return(result);
}
/// <summary>
/// Prepare the text string for breaks
/// </summary>
private IDoubleArray ParseBreaks(string p)
{
String[] breaks = p.Split(' ');
IDoubleArray pBrks = new DoubleArrayClass();
int firstIndex = breaks.GetLowerBound(0);
int lastIndex = breaks.GetUpperBound(0);
for (int splitIndex = firstIndex; splitIndex <= lastIndex; splitIndex++)
{
try
{
pBrks.Add(Convert.ToDouble(breaks[splitIndex]));
}
catch (FormatException)
{
MessageBox.Show("Breaks are not properly formatted. Use only digits separated by spaces");
pBrks.RemoveAll();
return(pBrks);
}
}
return(pBrks);
}
/// <summary>
/// Prepare the text string for breaks
/// </summary>
private IDoubleArray ParseBreaks(string p)
{
String[] breaks = p.Split(' ');
IDoubleArray pBrks = new DoubleArrayClass();
int firstIndex = breaks.GetLowerBound(0);
int lastIndex = breaks.GetUpperBound(0);
for (int splitIndex = firstIndex; splitIndex <= lastIndex; splitIndex++)
{
try
{
pBrks.Add(Convert.ToDouble(breaks[splitIndex]));
}
catch (FormatException)
{
MessageBox.Show("Breaks are not properly formatted. Use only digits separated by spaces");
pBrks.RemoveAll();
return pBrks;
}
}
return pBrks;
}
static void Main(string[] args)
{
ESRI.ArcGIS.esriSystem.AoInitialize aoInit;
#region Initialize License
try
{
Console.WriteLine("Obtaining license");
ESRI.ArcGIS.RuntimeManager.Bind(ESRI.ArcGIS.ProductCode.Desktop);
aoInit = new AoInitializeClass();
esriLicenseStatus licStatus = aoInit.Initialize(esriLicenseProductCode.esriLicenseProductCodeBasic);
Console.WriteLine("Ready with license.");
}
catch (Exception exc)
{
// If it fails at this point, shutdown the test and ignore any subsequent errors.
Console.WriteLine(exc.Message);
return;
}
#endregion
try
{
#region Specify input directory and dataset name
// The directory which contains the Panchromatic Image.
string panDir = @"C:\Data\QB\Pan";
// The directory which contains the Multispectral Image.
string rgbDir = @"C:\Data\QB\MS";
string panImageName = "05JAN27104436-P1BS-005533787010_01_P002.TIF";
string rgbImageName = "05JAN27104436-M1BS-005533787010_01_P002.TIF";
// Output filename.
string outputDataset = @"c:\Temp\QBTemplateCS.afr";
#endregion
#region Initialize
// Setup Workspaces.
Type factoryType = Type.GetTypeFromProgID("esriDataSourcesRaster.RasterWorkspaceFactory");
IWorkspaceFactory workspaceFactory = (IWorkspaceFactory)Activator.CreateInstance(factoryType);
IRasterWorkspace panRasterWorkspace = (IRasterWorkspace)workspaceFactory.OpenFromFile(panDir, 0);
IRasterWorkspace rgbRasterWorkspace = (IRasterWorkspace)workspaceFactory.OpenFromFile(rgbDir, 0);
// Open Datasets
IRasterDataset panDataset = panRasterWorkspace.OpenRasterDataset(panImageName);
IRasterDataset rgbDataset = rgbRasterWorkspace.OpenRasterDataset(rgbImageName);
#endregion
#region Create Variables
// Create one variable of type IRasterFunctionVariable for each
// Raster Dataset opened above
// Create a new Raster Function Variable
IRasterFunctionVariable panVar = new RasterFunctionVariableClass();
// Set the name of the variable
panVar.Name = "panImage";
// Describe the variable
panVar.Description = "Panchromatic Image to be used for pansharpening";
// Specify whether it represents a dataset
panVar.IsDataset = true;
// Create a new Raster Function Variable
IRasterFunctionVariable rgbVar = new RasterFunctionVariableClass();
// Set the name of the variable
rgbVar.Name = "rgbImage";
// Describe the variable
rgbVar.Description = "Multispectral Image to be used for pansharpening";
// Specify whether it represents a dataset
rgbVar.IsDataset = true;
#endregion
#region Prepare the Pan Image
// Setup statistics for each band
IArray statsArrayPan = new ArrayClass();
IRasterStatistics statsPanBand = new RasterStatisticsClass();
statsPanBand.Minimum = 1;
statsPanBand.Maximum = 2047;
statsArrayPan.Add(statsPanBand);
// Create the arguments object for the stretching function
IStretchFunctionArguments stretchingPanFunctionArguements = new StretchFunctionArgumentsClass();
// Set the stretching type
stretchingPanFunctionArguements.StretchType =
esriRasterStretchType.esriRasterStretchMinimumMaximum;
// Set the statistics created above
stretchingPanFunctionArguements.Statistics = statsArrayPan;
// Set the input raster, in this case, the variable for the Pan Image
stretchingPanFunctionArguements.Raster = panVar;
// Create the function object to stretch the Pan Image.
IRasterFunction stretchingPanFunction = new StretchFunction();
// Create a Raster Function Template object for the stretch function
IRasterFunctionTemplate stretchingPanFunctionT = new RasterFunctionTemplateClass();
// Set the function on the template
stretchingPanFunctionT.Function = (IRasterFunction)stretchingPanFunction;
// Set the arguments for the function
stretchingPanFunctionT.Arguments = stretchingPanFunctionArguements;
#endregion
#region Prepare the Multispectral (RGB) Image
// Create an array which defines the order of bands
ILongArray bandIDs = new LongArrayClass();
bandIDs.Add(2);
bandIDs.Add(1);
bandIDs.Add(0);
// Create an Extract Band Function Arguments object
IExtractBandFunctionArguments extractRgbBandFunctionArgs = (IExtractBandFunctionArguments)
new ExtractBandFunctionArguments();
// Set the order of bands of the output
extractRgbBandFunctionArgs.BandIDs = bandIDs;
// Set the input raster, in this case the variable for the Multispectral Image
extractRgbBandFunctionArgs.Raster = rgbVar;
// Create the Extract Band Function object
IRasterFunction extractRgbBandFunction = new ExtractBandFunction();
// Create a Raster Function Template object for the function created above
IRasterFunctionTemplate extractRgbBandFunctionT = new RasterFunctionTemplateClass();
// Set the function on the template
extractRgbBandFunctionT.Function = (IRasterFunction)extractRgbBandFunction;
// Set the arguments for the function
extractRgbBandFunctionT.Arguments = extractRgbBandFunctionArgs;
// Setup statistics for each band
IArray statsArray = new ArrayClass();
IRasterStatistics statsMulBand1 = new RasterStatisticsClass();
statsMulBand1.Minimum = 100;
statsMulBand1.Maximum = 1721;
statsArray.Add(statsMulBand1);
IRasterStatistics statsMulBand2 = new RasterStatisticsClass();
statsMulBand2.Minimum = 95;
statsMulBand2.Maximum = 2047;
statsArray.Add(statsMulBand2);
IRasterStatistics statsMulBand3 = new RasterStatisticsClass();
statsMulBand3.Minimum = 34;
statsMulBand3.Maximum = 2006;
statsArray.Add(statsMulBand3);
// Create a stretching function for the multispectral image
IRasterFunction stretchingRGBFunction = new StretchFunction();
// Create an arguments object for the stretch function
IStretchFunctionArguments stretchingRGBFunctionArguments =
new StretchFunctionArgumentsClass();
// Set the type of stretchings to perform
stretchingRGBFunctionArguments.StretchType =
esriRasterStretchType.esriRasterStretchMinimumMaximum;
// Set the statistics created above
stretchingRGBFunctionArguments.Statistics = statsArray;
// Set the extract band function template created above as the input
stretchingRGBFunctionArguments.Raster = extractRgbBandFunctionT;
// Create a Raster Function Template object for the function created above
IRasterFunctionTemplate stretchingRGBFunctionT = new RasterFunctionTemplateClass();
// Set the function on the template
stretchingRGBFunctionT.Function = (IRasterFunction)stretchingRGBFunction;
// Set the arguments for the function
stretchingRGBFunctionT.Arguments = stretchingRGBFunctionArguments;
#endregion
#region Pansharpen the Pan Image with the Multispectral
// Create a Raster Function Arguments object for the pansharpen function
IPansharpeningFunctionArguments pansharpFunctionArguements =
new PansharpeningFunctionArgumentsClass();
// Set the Panchromatic image which has been prepared above
pansharpFunctionArguements.PanImage = stretchingPanFunctionT;
// Set the Multispectral image which has been prepared above
pansharpFunctionArguements.MSImage = stretchingRGBFunctionT;
// Create a new pansharpen raster function object
IRasterFunction pansharpenFunction = new PansharpeningFunction();
// Create a new pansharpen function arguments object
IPansharpeningFunctionArguments pansharpenFunctionArguements =
new PansharpeningFunctionArgumentsClass();
// Set the pansharpening type
pansharpenFunctionArguements.PansharpeningType =
esriPansharpeningType.esriPansharpeningESRI;
// Create an array of doubles that sets the weights for each band
IDoubleArray weightsArray = new DoubleArrayClass();
weightsArray.Add(0.167);
weightsArray.Add(0.166);
weightsArray.Add(0.166);
// and set it on the arguments object
pansharpenFunctionArguements.Weights = weightsArray;
// Create a Raster Function Template object for the pansharpen function
IRasterFunctionTemplate rasterFunction = new RasterFunctionTemplateClass();
rasterFunction.Function = (IRasterFunction)pansharpenFunction;
rasterFunction.Arguments = pansharpFunctionArguements;
((IRasterFunction)rasterFunction).PixelType = rstPixelType.PT_UCHAR;
#endregion
#region Resolve variables
// Create a PropertySet object to set the values for the
// Raster Function Variables created above
IPropertySet variables = new PropertySet();
variables.SetProperty("panImage", panDataset);
variables.SetProperty("rgbImage", rgbDataset);
#endregion
#region Create the Function Raster Dataset
// Create the Function Raster Dataset Object for the Pansharpened Dataset
IFunctionRasterDataset functionRasterDataset = new FunctionRasterDataset();
// Create a name object for the Function Raster Dataset.
IFunctionRasterDatasetName functionRasterDatasetName =
new FunctionRasterDatasetNameClass();
// Specify the output filename for the new dataset (including
// the .afr extension at the end).
functionRasterDatasetName.FullName = outputDataset;
functionRasterDataset.FullName = (IName)functionRasterDatasetName;
// Initialize the new Function Raster Dataset with the Raster Function
// Template and the property set containing the variables and their values.
functionRasterDataset.Init((IRasterFunction)rasterFunction, variables);
ITemporaryDataset myTempDset = (ITemporaryDataset)functionRasterDataset;
myTempDset.MakePermanent();
#endregion
#region Shutdown
Console.WriteLine("Success.");
Console.WriteLine("Press any key...");
Console.ReadKey();
// Shutdown License
aoInit.Shutdown();
#endregion
}
catch (Exception exc)
{
#region Shutdown
Console.WriteLine("Exception Caught while creating Function Raster Dataset. " + exc.Message);
Console.WriteLine("Failed.");
Console.WriteLine("Press any key...");
Console.ReadKey();
// Shutdown License
aoInit.Shutdown();
#endregion
}
}
static void Main(string[] args)
{
ESRI.ArcGIS.esriSystem.AoInitialize aoInit;
#region Initialize License
try
{
Console.WriteLine("Obtaining license");
ESRI.ArcGIS.RuntimeManager.Bind(ESRI.ArcGIS.ProductCode.Desktop);
aoInit = new AoInitializeClass();
esriLicenseStatus licStatus = aoInit.Initialize(esriLicenseProductCode.esriLicenseProductCodeBasic);
Console.WriteLine("Ready with license.");
}
catch (Exception exc)
{
// If it fails at this point, shutdown the test and ignore any subsequent errors.
Console.WriteLine(exc.Message);
return;
}
#endregion
try
{
#region Specify input directory and dataset name
// The directory which contains the Panchromatic Image.
string panDir = @"C:\Data\QB\Pan";
// The directory which contains the Multispectral Image.
string rgbDir = @"C:\Data\QB\MS";
string panImageName = "05JAN27104436-P1BS-005533787010_01_P002.TIF";
string rgbImageName = "05JAN27104436-M1BS-005533787010_01_P002.TIF";
// Output filename.
string outputDataset = @"c:\Temp\QBTemplateCS.afr";
#endregion
#region Initialize
// Setup Workspaces.
Type factoryType = Type.GetTypeFromProgID("esriDataSourcesRaster.RasterWorkspaceFactory");
IWorkspaceFactory workspaceFactory = (IWorkspaceFactory)Activator.CreateInstance(factoryType);
IRasterWorkspace panRasterWorkspace = (IRasterWorkspace)workspaceFactory.OpenFromFile(panDir, 0);
IRasterWorkspace rgbRasterWorkspace = (IRasterWorkspace)workspaceFactory.OpenFromFile(rgbDir, 0);
// Open Datasets
IRasterDataset panDataset = panRasterWorkspace.OpenRasterDataset(panImageName);
IRasterDataset rgbDataset = rgbRasterWorkspace.OpenRasterDataset(rgbImageName);
#endregion
#region Create Variables
// Create one variable of type IRasterFunctionVariable for each
// Raster Dataset opened above
// Create a new Raster Function Variable
IRasterFunctionVariable panVar = new RasterFunctionVariableClass();
// Set the name of the variable
panVar.Name = "panImage";
// Describe the variable
panVar.Description = "Panchromatic Image to be used for pansharpening";
// Specify whether it represents a dataset
panVar.IsDataset = true;
// Create a new Raster Function Variable
IRasterFunctionVariable rgbVar = new RasterFunctionVariableClass();
// Set the name of the variable
rgbVar.Name = "rgbImage";
// Describe the variable
rgbVar.Description = "Multispectral Image to be used for pansharpening";
// Specify whether it represents a dataset
rgbVar.IsDataset = true;
#endregion
#region Prepare the Pan Image
// Setup statistics for each band
IArray statsArrayPan = new ArrayClass();
IRasterStatistics statsPanBand = new RasterStatisticsClass();
statsPanBand.Minimum = 1;
statsPanBand.Maximum = 2047;
statsArrayPan.Add(statsPanBand);
// Create the arguments object for the stretching function
IStretchFunctionArguments stretchingPanFunctionArguements = new StretchFunctionArgumentsClass();
// Set the stretching type
stretchingPanFunctionArguements.StretchType =
esriRasterStretchType.esriRasterStretchMinimumMaximum;
// Set the statistics created above
stretchingPanFunctionArguements.Statistics = statsArrayPan;
// Set the input raster, in this case, the variable for the Pan Image
stretchingPanFunctionArguements.Raster = panVar;
// Create the function object to stretch the Pan Image.
IRasterFunction stretchingPanFunction = new StretchFunction();
// Create a Raster Function Template object for the stretch function
IRasterFunctionTemplate stretchingPanFunctionT = new RasterFunctionTemplateClass();
// Set the function on the template
stretchingPanFunctionT.Function = (IRasterFunction)stretchingPanFunction;
// Set the arguments for the function
stretchingPanFunctionT.Arguments = stretchingPanFunctionArguements;
#endregion
#region Prepare the Multispectral (RGB) Image
// Create an array which defines the order of bands
ILongArray bandIDs = new LongArrayClass();
bandIDs.Add(2);
bandIDs.Add(1);
bandIDs.Add(0);
// Create an Extract Band Function Arguments object
IExtractBandFunctionArguments extractRgbBandFunctionArgs = (IExtractBandFunctionArguments)
new ExtractBandFunctionArguments();
// Set the order of bands of the output
extractRgbBandFunctionArgs.BandIDs = bandIDs;
// Set the input raster, in this case the variable for the Multispectral Image
extractRgbBandFunctionArgs.Raster = rgbVar;
// Create the Extract Band Function object
IRasterFunction extractRgbBandFunction = new ExtractBandFunction();
// Create a Raster Function Template object for the function created above
IRasterFunctionTemplate extractRgbBandFunctionT = new RasterFunctionTemplateClass();
// Set the function on the template
extractRgbBandFunctionT.Function = (IRasterFunction)extractRgbBandFunction;
// Set the arguments for the function
extractRgbBandFunctionT.Arguments = extractRgbBandFunctionArgs;
// Setup statistics for each band
IArray statsArray = new ArrayClass();
IRasterStatistics statsMulBand1 = new RasterStatisticsClass();
statsMulBand1.Minimum = 100;
statsMulBand1.Maximum = 1721;
statsArray.Add(statsMulBand1);
IRasterStatistics statsMulBand2 = new RasterStatisticsClass();
statsMulBand2.Minimum = 95;
statsMulBand2.Maximum = 2047;
statsArray.Add(statsMulBand2);
IRasterStatistics statsMulBand3 = new RasterStatisticsClass();
statsMulBand3.Minimum = 34;
statsMulBand3.Maximum = 2006;
statsArray.Add(statsMulBand3);
// Create a stretching function for the multispectral image
IRasterFunction stretchingRGBFunction = new StretchFunction();
// Create an arguments object for the stretch function
IStretchFunctionArguments stretchingRGBFunctionArguments =
new StretchFunctionArgumentsClass();
// Set the type of stretchings to perform
stretchingRGBFunctionArguments.StretchType =
esriRasterStretchType.esriRasterStretchMinimumMaximum;
// Set the statistics created above
stretchingRGBFunctionArguments.Statistics = statsArray;
// Set the extract band function template created above as the input
stretchingRGBFunctionArguments.Raster = extractRgbBandFunctionT;
// Create a Raster Function Template object for the function created above
IRasterFunctionTemplate stretchingRGBFunctionT = new RasterFunctionTemplateClass();
// Set the function on the template
stretchingRGBFunctionT.Function = (IRasterFunction)stretchingRGBFunction;
// Set the arguments for the function
stretchingRGBFunctionT.Arguments = stretchingRGBFunctionArguments;
#endregion
#region Pansharpen the Pan Image with the Multispectral
// Create a Raster Function Arguments object for the pansharpen function
IPansharpeningFunctionArguments pansharpFunctionArguements =
new PansharpeningFunctionArgumentsClass();
// Set the Panchromatic image which has been prepared above
pansharpFunctionArguements.PanImage = stretchingPanFunctionT;
// Set the Multispectral image which has been prepared above
pansharpFunctionArguements.MSImage = stretchingRGBFunctionT;
// Create a new pansharpen raster function object
IRasterFunction pansharpenFunction = new PansharpeningFunction();
// Create a new pansharpen function arguments object
IPansharpeningFunctionArguments pansharpenFunctionArguements =
new PansharpeningFunctionArgumentsClass();
// Set the pansharpening type
pansharpenFunctionArguements.PansharpeningType =
esriPansharpeningType.esriPansharpeningESRI;
// Create an array of doubles that sets the weights for each band
IDoubleArray weightsArray = new DoubleArrayClass();
weightsArray.Add(0.167);
weightsArray.Add(0.166);
weightsArray.Add(0.166);
// and set it on the arguments object
pansharpenFunctionArguements.Weights = weightsArray;
// Create a Raster Function Template object for the pansharpen function
IRasterFunctionTemplate rasterFunction = new RasterFunctionTemplateClass();
rasterFunction.Function = (IRasterFunction)pansharpenFunction;
rasterFunction.Arguments = pansharpFunctionArguements;
((IRasterFunction)rasterFunction).PixelType = rstPixelType.PT_UCHAR;
#endregion
#region Resolve variables
// Create a PropertySet object to set the values for the
// Raster Function Variables created above
IPropertySet variables = new PropertySet();
variables.SetProperty("panImage", panDataset);
variables.SetProperty("rgbImage", rgbDataset);
#endregion
#region Create the Function Raster Dataset
// Create the Function Raster Dataset Object for the Pansharpened Dataset
IFunctionRasterDataset functionRasterDataset = new FunctionRasterDataset();
// Create a name object for the Function Raster Dataset.
IFunctionRasterDatasetName functionRasterDatasetName =
new FunctionRasterDatasetNameClass();
// Specify the output filename for the new dataset (including
// the .afr extension at the end).
functionRasterDatasetName.FullName = outputDataset;
functionRasterDataset.FullName = (IName)functionRasterDatasetName;
// Initialize the new Function Raster Dataset with the Raster Function
// Template and the property set containing the variables and their values.
functionRasterDataset.Init((IRasterFunction)rasterFunction, variables);
ITemporaryDataset myTempDset = (ITemporaryDataset)functionRasterDataset;
myTempDset.MakePermanent();
#endregion
#region Shutdown
Console.WriteLine("Success.");
Console.WriteLine("Press any key...");
Console.ReadKey();
// Shutdown License
aoInit.Shutdown();
#endregion
}
catch (Exception exc)
{
#region Shutdown
Console.WriteLine("Exception Caught while creating Function Raster Dataset. " + exc.Message);
Console.WriteLine("Failed.");
Console.WriteLine("Press any key...");
Console.ReadKey();
// Shutdown License
aoInit.Shutdown();
#endregion
}
}
/// <summary>
/// creates a mask of valid values (greater than equal to min and less than equal to max)
/// </summary>
/// <param name="inRaster"></param>
/// <param name="BandRanges"></param>
/// <returns></returns>
public IFunctionRasterDataset maskDataRange(object inRaster, double[][] BandRanges)
{
string tempAr = funcDir + "\\" + FuncCnt + ".afr";
IFunctionRasterDataset frDset = new FunctionRasterDatasetClass();
IFunctionRasterDatasetName frDsetName = new FunctionRasterDatasetNameClass();
frDsetName.FullName = tempAr;
frDset.FullName = (IName)frDsetName;
IRasterFunction rsFunc = new MaskFunctionClass();
IMaskFunctionArguments args = new MaskFunctionArgumentsClass();
IDoubleArray dbArray = new DoubleArrayClass();
foreach (double[] d in BandRanges)
{
dbArray.Add(d[0]);
dbArray.Add(d[1]);
}
args.Raster = returnRaster(inRaster);
args.IncludedRanges = dbArray;
frDset.Init(rsFunc, args);
return frDset;
}
/// <summary>
/// performs a convolution analysis for a defined kernel
/// </summary>
/// <param name="inRaster"></param>
/// <param name="width"></param>
/// <param name="height"></param>
/// <param name="kn"></param>
/// <returns></returns>
public IFunctionRasterDataset convolutionRasterFunction(object inRaster, int width, int height, double[] kn)
{
string tempAr = funcDir + "\\" + FuncCnt + ".afr";
IFunctionRasterDataset frDset = new FunctionRasterDatasetClass();
IFunctionRasterDatasetName frDsetName = new FunctionRasterDatasetNameClass();
frDsetName.FullName = tempAr;
frDset.FullName = (IName)frDsetName;
IRasterFunction rsFunc = new ConvolutionFunctionClass();
IFunctionRasterDataset rs = createIdentityRaster(inRaster,rstPixelType.PT_FLOAT);
IConvolutionFunctionArguments args = new ConvolutionFunctionArgumentsClass();
args.Raster = rs;
args.Rows = width;
args.Columns = height;
IDoubleArray dbArry = new DoubleArrayClass();
foreach (double d in kn)
{
dbArry.Add(d);
}
args.Kernel = dbArry;
args.Type = esriRasterFilterTypeEnum.esriRasterFilterUserDefined;
frDset.Init(rsFunc, args);
IFunctionRasterDataset outFrDset = frDset;
if (width > 3 || height > 3)
{
double cSizeX = frDset.RasterInfo.CellSize.X;
double cSizeY = frDset.RasterInfo.CellSize.Y;
double addY = 0;
double addX = 0;
if (width > 3)
{
addX = (((width + 1) / 2) - 2) * cSizeX;
}
if (height > 3)
{
addY = -1 * (((height + 1) / 2) - 2) * cSizeY;
}
outFrDset = shiftRasterFunction(frDset, addX, addY);
}
return outFrDset;
}
/// <summary>
/// Calculates a trend raster from double filter
/// </summary>
/// <param name="inRaster">string, IRasterDataset, or IRaster</param>
/// <param name="doubleFilter">a double array of plan values</param>
/// <returns>IRaster</returns>
public IFunctionRasterDataset calcTrendFunction(object inRaster, double[] doubleFilter)
{
IDoubleArray dbArray = new DoubleArrayClass();
string tempAr = funcDir + "\\" + FuncCnt + ".afr";
IFunctionRasterDataset frDset = new FunctionRasterDatasetClass();
IFunctionRasterDatasetName frDsetName = new FunctionRasterDatasetNameClass();
frDsetName.FullName = tempAr;
frDset.FullName = (IName)frDsetName;
IRasterFunction rsFunc = new TrendFunctionClass();
ITrendFunctionArguments args = new TrendFunctionArgumentsClass();
args.Raster = createIdentityRaster(inRaster,rstPixelType.PT_FLOAT);
for (int i = 0; i < doubleFilter.Length; i++)
{
dbArray.Add(doubleFilter[i]);
}
args.PlaneParameters = dbArray;
frDset.Init(rsFunc, args);
return frDset;
}
/// <summary>
/// Remaps the values of a given raster to new set of values
/// </summary>
/// <param name="inRaster">input raster</param>
/// <param name="filter">a remap filter</param>
/// <returns>IRaster with remaped values</returns>
public IFunctionRasterDataset calcRemapFunction(object inRaster, IRemapFilter filter)
{
IFunctionRasterDataset rRst = createIdentityRaster(inRaster);
IDoubleArray rangeArray = new DoubleArrayClass();
IDoubleArray valueArray = new DoubleArrayClass();
double min,max,vl;
string tempAr = funcDir + "\\" + FuncCnt + ".afr";
IFunctionRasterDataset frDset = new FunctionRasterDatasetClass();
IFunctionRasterDatasetName frDsetName = new FunctionRasterDatasetNameClass();
frDsetName.FullName = tempAr;
frDset.FullName = (IName)frDsetName;
IRasterFunction rsFunc = new RemapFunctionClass();
IRemapFunctionArguments args = new RemapFunctionArgumentsClass();
args.AllowUnmatched = filter.AllowUnmatched;
args.Raster = rRst;
for (int i = 0; i < filter.ClassCount; i++)
{
filter.QueryClass(i, out min, out max, out vl);
rangeArray.Add(min);
rangeArray.Add(max);
valueArray.Add(vl);
}
args.InputRanges = rangeArray;
args.OutputValues = valueArray;
frDset.Init(rsFunc, args);
return frDset;
}
