类 com.supermap.data.DatasetImage的使用 (iObjects Java Help)

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使用DatasetImage的程序包
程序包	说明
com.supermap.analyst.spatialanalyst
com.supermap.data
com.supermap.data.processing
com.supermap.image.processing
com.supermap.mapping
com.supermap.realspace.threeddesigner

com.supermap.analyst.spatialanalyst中DatasetImage的使用

返回DatasetImage的com.supermap.analyst.spatialanalyst中的方法
限定符和类型	方法和说明
`static DatasetImage`	ImageAnalyst.`bandArithmetic(DatasetImage sourceDataset, BandArithmeticMethod method, String bandIndexs, String targetDatasetName, Datasource targetDatasource)` 波段算术函数
`static DatasetImage`	ImageAnalyst.`bandArithmetic(DatasetImage sourceDataset, BandArithmeticMethod method, String bandIndexs, String targetDatasetName, Datasource targetDatasource, SteppedListener... listeners)` 波段算术函数
`static DatasetImage`	CalculationTerrain.`calculateOrthoImage(DatasetGrid sourceDatasetGrid, ColorDictionary colorDictionary, Color noValueColor, Datasource targetDatasource, String targetDatasetName)` 根据给定的高程颜色对照表生成正射三维影像。
`static DatasetImage`	CalculationTerrain.`calculateOrthoImage(DatasetGrid sourceDatasetGrid, ColorDictionary colorDictionary, Color noValueColor, Datasource targetDatasource, String targetDatasetName, SteppedListener... listeners)` 计算三维正射投影
`static DatasetImage`	CalculationTerrain.`calculateOrthoImage(DatasetGrid sourceDatasetGrid, Colors colors, Color noValueColor, Datasource targetDatasource, String targetDatasetName)` 根据给定的颜色集合生成正射三维影像。
`static DatasetImage`	CalculationTerrain.`calculateOrthoImage(DatasetGrid sourceDatasetGrid, Colors colors, Color noValueColor, Datasource targetDatasource, String targetDatasetName, SteppedListener... listeners)` 计算三维正射投影
`static DatasetImage`	CalculationTerrain.`calculateOrthoImage(DatasetGrid sourceDatasetGrid, Colors colors, Color noValueColor, double zFactor, Datasource targetDatasource, String targetDatasetName)` 已过时。使用 `calculateOrthoImage` 替代。生成正射三维影像。
`static DatasetImage`	CalculationTerrain.`calculateOrthoImage(DatasetGrid sourceDatasetGrid, Colors colors, double zFactor, Datasource targetDatasource, String targetDatasetName)` 已过时。

参数类型为DatasetImage的com.supermap.analyst.spatialanalyst中的方法
限定符和类型	方法和说明
`static DatasetImage`	ImageAnalyst.`bandArithmetic(DatasetImage sourceDataset, BandArithmeticMethod method, String bandIndexs, String targetDatasetName, Datasource targetDatasource)` 波段算术函数
`static DatasetImage`	ImageAnalyst.`bandArithmetic(DatasetImage sourceDataset, BandArithmeticMethod method, String bandIndexs, String targetDatasetName, Datasource targetDatasource, SteppedListener... listeners)` 波段算术函数
`static boolean`	RasterClip.`clip(DatasetImage sourceDataset, GeoRegion userRegion, boolean isClipInRegion, String targetFileName, RasterClipFileType targetFileType)` 对影像数据集进行裁剪，并输出为指定类型的文件。
`static GridHistogram[]`	StatisticsAnalyst.`createImageHistogram(DatasetImage statisticsImage, int groupCount, FunctionType functionType)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `StatisticsAnalyst.createImageHistogram(DatasetImage, int, FunctionType, SteppedListener...)` 替换。
`static GridHistogram`	StatisticsAnalyst.`createImageHistogram(DatasetImage statisticsImage, int groupCount, FunctionType functionType, int bandIndex)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `StatisticsAnalyst.createImageHistogram(DatasetImage, int, FunctionType, int, SteppedListener...)` 替换。
`static GridHistogram`	StatisticsAnalyst.`createImageHistogram(DatasetImage statisticsImage, int groupCount, FunctionType functionType, int bandIndex, SteppedListener... listeners)` 创建影像数据集某个波段的直方图。
`static GridHistogram[]`	StatisticsAnalyst.`createImageHistogram(DatasetImage statisticsImage, int groupCount, FunctionType functionType, SteppedListener... listeners)` 创建影像数据集的直方图。
`static BasicStatisticsAnalystResult`	StatisticsAnalyst.`imageBasicStatistics(DatasetImage statisticsImage, FunctionType functionType, int bandIndex)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `StatisticsAnalyst.imageBasicStatistics(DatasetImage, FunctionType, int, SteppedListener...)` 替换。
`static BasicStatisticsAnalystResult`	StatisticsAnalyst.`imageBasicStatistics(DatasetImage statisticsImage, FunctionType functionType, int bandIndex, SteppedListener... listeners)` 对影像数据集某个波段进行基本统计分析。
`static BasicStatisticsAnalystResult[]`	StatisticsAnalyst.`imageBasicStatistics(DatasetImage statisticsImage, FunctionType functionType, SteppedListener... listeners)` 对影像数据集某个波段进行基本统计分析。
`static DatasetGrid`	ImageAnalyst.`NDVI(DatasetImage nirDataset, int nirIndex, DatasetImage redDataset, int redIndex, String targetDatasetName, Datasource targetDatasource)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `ImageAnalyst.NDVI(DatasetImage, int, DatasetImage, int, String, Datasource, SteppedListener...)` 替换。
`static DatasetGrid`	ImageAnalyst.`NDVI(DatasetImage nirDataset, int nirIndex, DatasetImage redDataset, int redIndex, String targetDatasetName, Datasource targetDatasource, double noDataValue)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `ImageAnalyst.NDVI(DatasetImage, int, DatasetImage, int, String, Datasource, double, SteppedListener...)` 替换。
`static DatasetGrid`	ImageAnalyst.`NDVI(DatasetImage nirDataset, int nirIndex, DatasetImage redDataset, int redIndex, String targetDatasetName, Datasource targetDatasource, double noDataValue, SteppedListener... listeners)` 归一化植被指数，也叫做归一化差分植被指数或者标准差异植被指数或生物量指标变化。
`static DatasetGrid`	ImageAnalyst.`NDVI(DatasetImage nirDataset, int nirIndex, DatasetImage redDataset, int redIndex, String targetDatasetName, Datasource targetDatasource, SteppedListener... listeners)` 归一化植被指数，也叫做归一化差分植被指数或者标准差异植被指数或生物量指标变化。
`static DatasetGrid`	ImageAnalyst.`NDVI(DatasetImage sourceDataset, int nirIndex, int redIndex, String targetDatasetName, Datasource targetDatasource)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `ImageAnalyst.NDVI(DatasetImage, int, int, String, Datasource, SteppedListener...)` 替换。
`static DatasetGrid`	ImageAnalyst.`NDVI(DatasetImage sourceDataset, int nirIndex, int redIndex, String targetDatasetName, Datasource targetDatasource, SteppedListener... listeners)` 归一化植被指数，也叫做归一化差分植被指数或者标准差异植被指数或生物量指标变化。
`static DatasetGrid`	ImageAnalyst.`NDWI(DatasetImage nirDataset, int nirIndex, DatasetImage greenDataset, int greenIndex, String targetDatasetName, Datasource targetDatasource)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `ImageAnalyst.NDWI(DatasetImage, int, DatasetImage, int, String, Datasource, SteppedListener...)` 替换。
`static DatasetGrid`	ImageAnalyst.`NDWI(DatasetImage nirDataset, int nirIndex, DatasetImage greenDataset, int greenIndex, String targetDatasetName, Datasource targetDatasource, double noDataValue)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `ImageAnalyst.NDWI(DatasetImage, int, DatasetImage, int, String, Datasource, double, SteppedListener...)` 替换。
`static DatasetGrid`	ImageAnalyst.`NDWI(DatasetImage nirDataset, int nirIndex, DatasetImage greenDataset, int greenIndex, String targetDatasetName, Datasource targetDatasource, double noDataValue, SteppedListener... listeners)` 归一化水指数。
`static DatasetGrid`	ImageAnalyst.`NDWI(DatasetImage nirDataset, int nirIndex, DatasetImage greenDataset, int greenIndex, String targetDatasetName, Datasource targetDatasource, SteppedListener... listeners)` 归一化水指数。
`static DatasetGrid`	ImageAnalyst.`NDWI(DatasetImage sourceDataset, int nirIndex, int greenIndex, String targetDatasetName, Datasource targetDatasource)` 已过时。此方法已废弃，请使用支持进度监听的新方法 `ImageAnalyst.NDWI(DatasetImage, int, int, String, Datasource, SteppedListener...)` 替换。
`static DatasetGrid`	ImageAnalyst.`NDWI(DatasetImage sourceDataset, int nirIndex, int greenIndex, String targetDatasetName, Datasource targetDatasource, SteppedListener... listeners)` 归一化水指数。

com.supermap.data中DatasetImage的使用

返回DatasetImage的com.supermap.data中的方法
限定符和类型	方法和说明
`DatasetImage`	Datasets.`create(DatasetImageInfo datasetInfo)` 根据指定的影像数据集信息来创建影像数据集。
`DatasetImage`	DatasetGroup.`createDataset(DatasetImageInfo datasetInfo)` 在当前数据集分组下创建一个影像数据集。
`DatasetImage`	DatasetImageCollection.`getDataset(String aliasName)` 已过时。返回影像数据集集合中指定别名的影像数据集对象。

参数类型为DatasetImage的com.supermap.data中的方法
限定符和类型	方法和说明
`int`	DatasetImage.`addBand(DatasetImage dataset)` 向指定的多波段影像数据集中追加波段。
`int`	DatasetImage.`addBand(DatasetImage[] datasets)` 向指定的多波段影像数据集合中追加多个波段。
`int`	DatasetImage.`addBand(DatasetImage dataset, int[] indexes)` 向指定的多波段影像数据集中按照指定的索引追加多个波段。
`static DatasetGrid`	Toolkit.`image2Grid(DatasetImage image)` 影像数据集转换为栅格数据集
`boolean`	DatasetImage.`update(DatasetImage dataset)` 根据指定的影像数据集更新。

参数类型为DatasetImage的com.supermap.data中的构造器
构造器和说明
`DatasetImageInfo(String name, DatasetImage templateDataset)` 根据指定的参数来构造一个 DatasetImageInfo 的新对象。

com.supermap.data.processing中DatasetImage的使用

返回DatasetImage的com.supermap.data.processing中的方法
限定符和类型	方法和说明
`DatasetImage`	ImageCacheBuilder.`getDataset()` 返回用于创建瓦片的影像数据集。

参数类型为DatasetImage的com.supermap.data.processing中的方法
限定符和类型	方法和说明
`void`	ImageCacheBuilder.`setDataset(DatasetImage dataset)` 设置用于创建瓦片的影像数据集。

参数类型为DatasetImage的com.supermap.data.processing中的构造器
构造器和说明
`ImageCacheBuilder(DatasetImage dataset, String outputFolder)` 根据影像数据集和结果数据存储路径，构造一个瓦片生成类对象。
`ImageCacheBuilder(DatasetImage dataset, String outputFolder, String name)` 根据影像数据集、结果数据存储路径、以及生成的瓦片对象名称，构造一个瓦片生成类对象。

com.supermap.image.processing中DatasetImage的使用

返回DatasetImage的com.supermap.image.processing中的方法
限定符和类型	方法和说明
`DatasetImage`	RadiometricCorrection.`atmosphericCorrection(DatasetImage sourceDatasetImage, AtmosphericCorrectionParameter parameter, String outputFilePath)` 已过时。
`DatasetImage`	RadiometricCorrection.`atmosphericCorrection(DatasetImage sourceDatasetImage, AtmosphericCorrectionParameter parameter, String outputFilePath, ImageOutputOption outOption)` 已过时。
`DatasetImage[]`	RadiometricCorrection.`atmosphericCorrectionLUTBatch(DatasetImage[] datasetImages, AtmosphericCorrectionParameter parameter, String imageOutDir, String suffixName, int parallelNum, ImageOutputOption outputOption)` 批量进行基于查找表法的大气校正。
`DatasetImage[]`	ImageStretching.`bandComposite(DatasetImage[] datasetImages, ComposeTrueColorParameter parameter, String outputDirectory, int parallelNumber, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 真彩色输出
`DatasetImage[]`	ImageStretching.`bandComposite(DatasetImage[] datasetImages, int redBand, int greenBand, int blueBand, String outputDirectory, int parallelNumber)` 批量真彩色输出
`DatasetImage[]`	ImageStretching.`bandComposite(DatasetImage[] datasetImages, int redBand, int greenBand, int blueBand, String outputDirectory, int parallelNumber, ImageOutputOption outputOption)` 批量真彩色输出
`DatasetImage`	ImageStretching.`bandComposite(DatasetImage sourceDataset, int redBand, int greenBand, int blueBand, String outputFilePath)` 真彩色输出。
`DatasetImage`	ImageStretching.`bandComposite(DatasetImage sourceDataset, int redBand, int greenBand, int blueBand, String outputFilePath, ImageOutputOption outOption)` 真彩色输出。
`DatasetImage[]`	Registration.`baseMapRegistrate(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages, RegistrateParameter parameter, String outputDirectory, ImageOutputOption outOption)` 参考影像配准
`DatasetImage[]`	ImageTools.`clipImage(DatasetImage[] datasetImages, DatasetVector clipDataset, ElevationData elevationData, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 遥感影像裁剪
`DatasetImage`	ImageTools.`clipImage(DatasetImage datasetImage, GeoRegion[] clipRegions, ElevationData elevationData, String outputFilePath, ImageOutputOption outputOption)` 遥感影像裁剪
`DatasetImage`	ImageTools.`clipImage(DatasetImage datasetImage, Rectangle2D rectClip, ElevationData elevationData, String outputFilePath, ImageOutputOption outputOption)` 遥感影像裁剪
`DatasetImage`	ImageMosaic.`clipImages(DatasetMosaic datasetMosaic, GeoRegion clipRegion, int expandPixelCount, StitchImagesParameter parameter, String outputFilePath)` 对镶嵌数据集进行裁剪。
`DatasetImage`	ImageMosaic.`clipImages(DatasetMosaic datasetMosaic, GeoRegion clipRegion, StitchImagesParameter parameter, String outputFilePath)` 对镶嵌数据集进行裁剪。
`DatasetImage[]`	ImageCloudRemoval.`cloudRemove(DatasetImage[] srcDatasets, DatasetImage[] refDatasets, DatasetVector maskVector, ImageCloudRemovalColorBalanceMethod colorBalance, double bufferRadius, double resolution, String outputDirectory, int parallelNum, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 云修补接口
`DatasetImage[]`	ImageCloudRemoval.`cloudRemove(DatasetImage[] srcDatasets, DatasetImage[] refDatasets, DatasetVector maskVector, ImageCloudRemovalColorBalanceMethod colorBalance, double bufferRadius, String outputDirectory, int parallelNum, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 云修补接口
`DatasetImage`	ImageMosaic.`colorBalanceAndStitch(DatasetMosaic datasetMosaic, ColorBalanceParameter colorBalanceParameter, StitchImagesParameter stitchImagesParameter, String outputFilePath, ImageOutputOption outputOption)` 对镶嵌数据集中的影像进行匀色并拼接成输出。
`DatasetImage[]`	ImageTools.`correctImageSpecifiedValues(DatasetImage[] datasetImages, DatasetImage[] maskDatasets, boolean isDetectNoData, double noDataCorrectValue, Map<Double,Double> correctTable, boolean isBindBand, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 修改影像范围内的值。
`DatasetImage[]`	ImageDehazing.`dehaze(DatasetImage[] srcDatasets, ImageDehzParameter parameter, String outputDirectory, int parallelNum)`
`DatasetImage[]`	ImageDehazing.`dehaze(DatasetImage[] srcDatasets, ImageDehzParameter parameter, String outputDirectory, int parallelNum, ImageOutputOption outputOption)` 影像去雾批处理
`DatasetImage`	ImageDehazing.`dehaze(DatasetImage srcDataset, ImageDehzParameter parameter, String resultPath, int parallelNum)`
`DatasetImage`	ImageDehazing.`dehaze(DatasetImage srcDataset, ImageDehzParameter parameter, String resultPath, int parallelNum, ImageOutputOption outputOption)`
`DatasetImage[]`	ImageDesaturation.`desaturate(DatasetImage[] datasetImages, ImageDesaturationParameter parameter, String outputDirectory, int parallelNumber, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 影像高亮去饱和
`DatasetImage[]`	ImageTools.`detectImageSpecifiedValues(DatasetImage[] datasetImages, boolean isDetectNoData, double[] specifiedValues, boolean isBindBand, String outputDirectory, int parallelNumber)` 查找影像有效范围内指定值，并返回掩膜。
`DatasetImage[]`	ElevationDatumConversion.`elevationDatumConversion(DatasetImage[] datasetImages, ElevationDatumConversionType eType, String outputDirectory, String userGeoidFile, int threadNum, ImageOutputOption outOption)` 高程转换
`DatasetImage[]`	ImageEnhancement.`enhanceContrast(DatasetImage[] datasetImages, String outputDirectory, int[] bandIndexs, double clipLimit, BlockSizeOption blockSize, int parallelNumber, ImageOutputOption outputOption)` 对比度增强
`DatasetImage`	ImageExport.`export(DatasetImage sourceDataset, String targetImagePath, ImageExportParameter parameter, int parallelNumber)` 影像导出。
`DatasetImage[]`	ImageExport.`exports(DatasetImage[] datasetImages, String outputDirectory, ImageExportParameter parameter, int parallelNumber)` 批量导出。
`DatasetImage[]`	ImageExport.`exports(DatasetImage[] datasetImages, String outputDirectory, ImageExportParameter parameter, int parallelNumber, ParallelStrategy parallelStrategy)` 批量导出。
`DatasetImage`	ImageTransformation.`fftForward(DatasetImage sourceDataset, int[] bandIndexs, Datasource targetDatasource, String targetDatasetName)` 快速傅里叶正变换。
`DatasetImage`	ImageTransformation.`fftForward(DatasetImage sourceDataset, int[] bandIndexs, String outputFilePath)` 快速傅里叶正变换。
`DatasetImage`	ImageTransformation.`fftForward(DatasetImage sourceDataset, int[] bandIndexs, String outputFilePath, ImageOutputOption outOption)` 快速傅里叶正变换。
`DatasetImage`	ImageTransformation.`fftInverse(DatasetImage sourceDataset, PixelFormat pixelFormat, Datasource targetDatasource, String targetDatasetName)` 快速傅里叶逆变换。
`DatasetImage`	ImageTransformation.`fftInverse(DatasetImage sourceDataset, PixelFormat pixelFormat, String outputFilePath)` 快速傅里叶逆变换。
`DatasetImage`	ImageTransformation.`fftInverse(DatasetImage sourceDataset, PixelFormat pixelFormat, String outputFilePath, ImageOutputOption outOption)` 快速傅里叶逆变换。
`DatasetImage`	BinocularStereo.`fillWaterBodyDSMs(DatasetImage dsmDataset, DatasetVector datasetVector, String targetImageFile, String fieldName, boolean isSmooth, ImageOutputOption outputOption)` DSM水域填值
`DatasetImage`	ImageFilter.`filter(DatasetImage sourceDataset, FilterParameter parameter, Datasource targetDatasource, String targetDatasetName)` 滤波，包括空域滤波，自定义滤波，Forest滤波、Lee滤波、Kuan滤波等。
`DatasetImage`	ImageFilter.`filter(DatasetImage sourceDataset, FilterParameter parameter, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 滤波，包括空域滤波，自定义滤波，Forest滤波、Lee滤波、Kuan滤波等。
`DatasetImage`	ImageFilter.`filter(DatasetImage sourceDataset, FilterParameter parameter, String outputFilePath)` 滤波，包括空域滤波，自定义滤波，Forest滤波、Lee滤波、Kuan滤波等。
`DatasetImage`	ImageFilter.`filter(DatasetImage sourceDataset, FilterParameter parameter, String outputFilePath, ImageOutputOption outOption)` 滤波，包括空域滤波，自定义滤波，Forest滤波、Lee滤波、Kuan滤波等。
`DatasetImage`	BinocularStereo.`filterDSM(DatasetImage dsmDataset, DSMFilterParameter parameter, int parallelNumber, String outputDEMPath, ImageOutputOption outputOption)` DSM滤波
`DatasetImage`	BinocularStereo.`filterDSM(DatasetImage dsmDataset, DSMFilterParameter parameter, String outputDEMPath)` DSM滤波
`DatasetImage[]`	BinocularStereo.`filterDSMs(DatasetImage[] dsmDatasets, DSMFilterParameter parameter, int parallelNumber, String outputDir, ImageOutputOption outputOption)` 批量DSM滤波
`DatasetImage`	ImageFilter.`frequencyFilter(DatasetImage sourceDataset, FrequencyFilterParameter parameter, Datasource targetDatasource, String targetDatasetName)` 频域滤波。
`DatasetImage`	ImageFilter.`frequencyFilter(DatasetImage sourceDataset, FrequencyFilterParameter parameter, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 频域滤波。
`DatasetImage`	ImageFilter.`frequencyFilter(DatasetImage sourceDataset, FrequencyFilterParameter parameter, String outputFilePath)` 频域滤波。
`DatasetImage`	ImageFilter.`frequencyFilter(DatasetImage sourceDataset, FrequencyFilterParameter parameter, String outputFilePath, ImageOutputOption outOption)` 频域滤波。
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber, ParallelStrategy parallelStrategy)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, int parallelNumber)` 批量融合
`DatasetImage`	ImageFusion.`fuse(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath)` 影像融合
`DatasetImage`	ImageFusion.`fuse(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath, double sharpCoeff, ImageOutputOption outputOption, int parallelNum)` 影像融合
`DatasetImage`	ImageFusion.`fuse(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath, ImageOutputOption outputOption, int parallelNum)` 影像融合
`DatasetImage`	ImageFusion.`fuse(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath, int parallelNum)` 影像融合生成高分辨率的多光谱影像
`DatasetImage[]`	ImageFusion.`fuse(Map<DatasetImage,DatasetImage> datasetImageMap, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber, ParallelStrategy parallelStrategy)` 批量融合
`DatasetImage[]`	Registration.`fuseRegistrate(DatasetImage[] muxDatasetImages, DatasetImage[] panReferenceImages, RegistrateParameter parameter, String outputDirectory, ImageOutputOption outOption)` 多光谱和全色配准
`DatasetImage[]`	Registration.`fuseRegistrate(Map<DatasetImage,DatasetImage> datasetImageMap, RegistrateParameter parameter, String outputDirectory, ImageOutputOption outOption)` 多光谱和全色配准
`DatasetImage[]`	ImageFusion.`fuseWithPredefinedWeight(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber, ParallelStrategy parallelStrategy, boolean isPairing)` 内部调用资源文件中的融合权重
`DatasetImage`	ImageFusion.`fuseWithPredefinedWeight(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath, double sharpCoeff, ImageOutputOption outputOption, int parallelNum, SensorFusionWeights sensorFusionWeights)` 使用自定义权重进行影像融合
`DatasetImage`	BinocularStereo.`generateDEM(DatasetImage backwardImageDataset, DatasetImage forwardImageDataset, DatasetImage nadImageDataset, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, int parallelNumber, String outputDEMPath, ImageOutputOption outputOption)` 生成DEM
`DatasetImage`	BinocularStereo.`generateDEM(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, int parallelNumber, String outputDEMPath, ImageOutputOption outputOption)` 双线阵生成DEM
`DatasetImage`	BinocularStereo.`generateDEM(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, String outputDEMPath)` 生成DEM
`DatasetImage[]`	BinocularStereo.`generateDEMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, int parallelNumber, String outputFolderPath, ImageOutputOption outputOption)` 批量生成DEM
`DatasetImage[]`	BinocularStereo.`generateDEMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DEM
`DatasetImage[]`	BinocularStereo.`generateDEMs(DatasetImage[] imageDatasets, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DEM
`DatasetImage`	BinocularStereo.`generateDSM(DatasetImage backwardImageDataset, DatasetImage forwardImageDataset, DatasetImage nadImageDataset, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, String outputDSMPath, ImageOutputOption outputOption)` 生成DSM
`DatasetImage`	BinocularStereo.`generateDSM(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, String outputDSMPath, ImageOutputOption outputOption)` 双线阵生成DSM
`DatasetImage`	BinocularStereo.`generateDSM(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, String outputDSMPath)` 生成DSM
`DatasetImage[]`	BinocularStereo.`generateDSMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, String outputFolderPath, ImageOutputOption outputOption)` 批量生成DSM
`DatasetImage[]`	BinocularStereo.`generateDSMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DSM--双线阵
`DatasetImage[]`	BinocularStereo.`generateDSMs(DatasetImage[] imageDatasets, String rpcsPath, GenerateDSMParameter parameter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DSM
`DatasetImage`	Orthorectification.`generateOrthophoto(DatasetImage sourceDatasetImage, String rpcPath, OrthorectificationParameter parameter, String outputFilePath)` 根据 RPC 信息生成正射影像
`DatasetImage`	Orthorectification.`generateOrthophoto(DatasetImage sourceDatasetImage, String rpcPath, OrthorectificationParameter parameter, String outputFilePath, ImageOutputOption outOption)` 根据 RPC 信息生成正射影像
`DatasetImage[]`	Orthorectification.`generateOrthophotos(DatasetImage[] datasetImages, String rpcDirectory, OrthorectificationParameter parameter, String outputDirectory)` 批量生成正射影像
`DatasetImage[]`	Orthorectification.`generateOrthophotos(DatasetImage[] datasetImages, String rpcDirectory, OrthorectificationParameter parameter, String outputDirectory, ImageOutputOption outOption, int parallelNumber)` 批量生成正射影像
`DatasetImage[]`	Orthorectification.`generateOrthophotos(DatasetImage[] datasetImages, String rpcDirectory, OrthorectificationParameter parameter, String outputDirectory, ImageOutputOption outOption, int parallelNumber, ParallelStrategy parallelStrategy)` 批量生成正射影像
`DatasetImage[]`	Orthorectification.`generateOrthophotos(DatasetImage[] datasetImages, String rpcDirectory, OrthorectificationParameter parameter, String outputDirectory, int parallelNumber)` 批量生成正射影像
`DatasetImage[]`	DOMAccuracyChecker.`getCheckImages()` 获取待评价的影像
`DatasetImage[]`	ImageMatcher.`getMatchImages()` 获取所有待匹配的影像数据集
`DatasetImage`	ColorBalanceParameter.`getReferenceDataset()` 返回参考影像。
`DatasetImage[]`	ImageColorBalance.`globalAndLocalColorBalancing(DatasetImage[] sourceDatasets, Datasource targetDatasource)` 已过时。
`DatasetImage[]`	ImageColorBalance.`globalAndLocalColorBalancing(DatasetImage[] sourceDatasets, String outputDirectory, FileType fileType)` 已过时。
`DatasetImage`	BinocularStereo.`mergeImages(DatasetImage[] imageDatasets, String outputFile)` DSM影像羽化拼接
`DatasetImage`	BinocularStereo.`mergeImages(DatasetImage[] imageDatasets, String outputFile, boolean isNoDataFill, ElevationData elevationData, int threadNum, ImageOutputOption outputOption)` DSM影像羽化拼接
`DatasetImage`	BinocularStereo.`mergeImages(DatasetImage[] imageDatasets, String outputFilePath, ImageOutputOption outputOption)` DSM影像羽化拼接
`DatasetImage`	BinocularStereo.`mergeImages(DatasetImage[] imageDatasets, String outputFile, String workDir, ImageOutputOption outputOption)` 已过时。
`DatasetImage[]`	MountainRepair.`mountainLatteRepair(DatasetImage[] datasetImages, DatasetImage[] refDatasetImages, DatasetVector datasetMaskVector, String latteFieldName, Datasource dataResSource, String resultDatasetName, String imageOutDir, Rectangle2D bounds, double bufferRadius, double SSIMValue, ImageCloudRemovalColorBalanceMethod colorBalance, int parallelNum, ImageOutputOption outputOption)` 进行山体拉花修复的，返回结果为修复的影像数据集和矢量结果数据；
`DatasetImage[]`	Registration.`muxBandRegistrate(DatasetImage[] sourceDatasetImages, int referenceBandIndex, String outputDirectory, ImageOutputOption outOption)` 波段间配准
`DatasetImage[]`	Registration.`muxBandRegistrate(DatasetImage[] sourceDatasetImages, String outputDirectory, ImageOutputOption outOption)` 波段间配准
`static DatasetImage`	ImageReader.`open(ImageReaderParameter parameter)` 影像读取
`static DatasetImage`	ImageReader.`open(String filePath)` 影像读取
`static DatasetImage`	ImageReader.`open(String filePath, SensorCategory sensorCategory)` 影像读取
`static DatasetImage`	InputImage.`openAsDataset(InputImage inputImage)` 打开影像为影像数据集。
`static DatasetImage[]`	ImageReader.`openImageDirectory(String directory)` 打开影像目录
`static DatasetImage[]`	ImageReader.`openImageDirectory(String directory, SensorCategory sensorCategory, String fileFilter, boolean traverseSubdirectories)` 打开影像目录
`static DatasetImage[]`	ImageReader.`openImageDirectory(String directory, SensorCategory sensorCategory, String fileFilter, boolean traverseSubdirectories, SteppedListener... listeners)` 打开影像目录
`DatasetImage`	ModisProcessing.`openModisSubDataset(String hdfPath, int subDataset)` 打开 modis子数据集
`DatasetImage`	ModisProcessing.`openModisSubDataset(String hdfPath, int subDataset, Datasource targetDatasource, String targetDatasetName)` 已过时。
`DatasetImage`	RadiometricCorrection.`radiometricCalibration(DatasetImage sourceDatasetImage, RadiometricCalibrationType radiometricCalibrationType, String outputFilePath)` 已过时。
`DatasetImage`	RadiometricCorrection.`radiometricCalibration(DatasetImage sourceDatasetImage, RadiometricCalibrationType radiometricCalibrationType, String outputFilePath, ImageOutputOption outOption)` 已过时。
`DatasetImage[]`	RadiometricCorrection.`radiometricCalibrationBatch(DatasetImage[] datasetImages, RadiometricCalibrationType radiometricCalibrationType, String imageOutDir, String suffixName, int parallelNum, ImageOutputOption outputOption)` 批量进行辐射定标。
`DatasetImage[]`	ImageGeoreferencing.`rectify(DatasetImage[] sourceImages, DatasetImage[] referenceImages, ImageGeoreferencingParameter parameter, String outputDirectory, ImageOutputOption outOption, int parallelNumber)` 影像地理配准
`DatasetImage[]`	ImageTools.`resampleImage(DatasetImage[] datasetImages, double resolution, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 遥感影像重采样
`DatasetImage`	ImageStretching.`saturate(DatasetImage sourceDataset, ImageSaturateParameter parameter, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 已过时。
`DatasetImage`	ImageStretching.`saturate(DatasetImage sourceDataset, ImageSaturateParameter parameter, String outputFilePath)` 影像饱和度调整，可改变影像显示的鲜艳程度。
`DatasetImage`	ImageStretching.`saturate(DatasetImage sourceDataset, ImageSaturateParameter parameter, String outputFiltePath, ImageOutputOption outOption)` 影像饱和度调整，可改变影像显示的鲜艳程度。
`DatasetImage`	ImageMosaic.`stitchDSMImages(DatasetMosaic datasetMosaic, int featheringCount, String outputFilePath, ImageOutputOption outputOption)` 已过时。
`DatasetImage`	ImageMosaic.`stitchImages(DatasetMosaic datasetMosaic, StitchImagesParameter parameter, String outputFilePath)` 生成镶嵌影像，把镶嵌数据集拼接输出为一景影像。
`DatasetImage`	ImageMosaic.`stitchImages(DatasetMosaic datasetMosaic, StitchImagesParameter parameter, String outputFilePath, ImageOutputOption outputOption)` 生成镶嵌影像，把镶嵌数据集拼接输出为一景影像。
`DatasetImage[]`	ImageStretching.`stretch(DatasetImage[] datasetImages, ImageStretchingParameter parameter, String outputDirectory, int parallelNumber)` 批量拉伸。
`DatasetImage[]`	ImageStretching.`stretch(DatasetImage[] datasetImages, ImageStretchingParameter parameter, String outputDirectory, int parallelNumber, ImageOutputOption outOption)` 批量拉伸。
`DatasetImage[]`	ImageStretching.`stretch(DatasetImage[] datasetImages, ImageStretchingParameter parameter, String outputDirectory, int parallelNumber, ParallelStrategy parallelStrategy, ImageOutputOption outOption)` 批量拉伸。
`DatasetImage`	ImageStretching.`stretch(DatasetImage sourceDataset, ImageStretchingParameter parameter, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 已过时。
`DatasetImage`	ImageStretching.`stretch(DatasetImage sourceDataset, ImageStretchingParameter parameter, String outputFilePath)` 影像拉伸。
`DatasetImage`	ImageStretching.`stretch(DatasetImage sourceDataset, ImageStretchingParameter parameter, String outputFilePath, ImageOutputOption outOption)` 影像拉伸，可通过拉伸的方式改变影像值范围。
`DatasetImage`	ImageFilter.`userdefinedFrequencyFilter(DatasetImage sourceDataset, DatasetVector checkRegionDataset, boolean isCheckInRegion, Datasource targetDatasource, String targetDatasetName)` 自定义频域滤波。
`DatasetImage`	ImageFilter.`userdefinedFrequencyFilter(DatasetImage sourceDataset, DatasetVector checkRegionDataset, boolean isCheckInRegion, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 自定义频域滤波。
`DatasetImage`	ImageFilter.`userdefinedFrequencyFilter(DatasetImage sourceDataset, DatasetVector checkRegionDataset, boolean isCheckInRegion, String outputFilePath)` 自定义频域滤波。
`DatasetImage`	ImageFilter.`userdefinedFrequencyFilter(DatasetImage sourceDataset, DatasetVector checkRegionDataset, boolean isCheckInRegion, String outputFilePath, ImageOutputOption outOption)` 自定义频域滤波。
`DatasetImage[]`	ImageColorBalance.`wallisColorBalancing(DatasetImage[] sourceDatasets, DatasetImage referenceImage, double brightness, double constant, Datasource targetDatasource)` 已过时。
`DatasetImage[]`	ImageColorBalance.`wallisColorBalancing(DatasetImage[] sourceDatasets, DatasetImage referenceImage, double brightness, double constant, String outputDirectory, FileType fileType)` 已过时。

参数类型为DatasetImage的com.supermap.image.processing中的方法
限定符和类型	方法和说明
`BlockAdjustmentSummary`	BlockAdjustment.`adjustRPC(DatasetImage[] images, DatasetImage[] anchorImages, DatasetVector nameIndicesDataset, DatasetVector gcpDatasetVector, DatasetVector tpDatasetVector, BlockAdjustmentParameter parameter, String outputFolderPath, Datasource targetDatasource, String imageSummaryDatasetName, String mosaickingDatasetName)` 区域网平差
`BlockAdjustmentSummary`	BlockAdjustment.`adjustRPC(DatasetImage[] images, DatasetImage[] anchorImages, DatasetVector nameIndicesDataset, DatasetVector gcpDatasetVector, DatasetVector tpDatasetVector, BlockAdjustmentParameter parameter, String outputFolderPath, Datasource targetDatasource, String imageSummaryDatasetName, String mosaickingDatasetName)` 区域网平差
`Map<String,RFM>`	BlockAdjustment.`adjustRPC(DatasetImage[] images, DatasetImage[] anchorImages, DatasetVector nameIndicesDataset, DatasetVector gcpDatasetVector, DatasetVector tpDatasetVector, DatasetVector manualGCPDataset, DatasetVector manualTPDataset, BlockAdjustmentParameter parameter)` 区域网平差
`Map<String,RFM>`	BlockAdjustment.`adjustRPC(DatasetImage[] images, DatasetImage[] anchorImages, DatasetVector nameIndicesDataset, DatasetVector gcpDatasetVector, DatasetVector tpDatasetVector, DatasetVector manualGCPDataset, DatasetVector manualTPDataset, BlockAdjustmentParameter parameter)` 区域网平差
`BlockAdjustmentSummary`	BlockAdjustment.`adjustRPC(DatasetImage[] images, DatasetVector nameIndicesDataset, DatasetVector gcpDatasetVector, DatasetVector tpDatasetVector, BlockAdjustmentParameter parameter, String outputFolderPath)` 区域网平差
`BlockAdjustmentSummary`	BlockAdjustment.`adjustRPC(DatasetImage[] images, DatasetVector nameIndicesDataset, DatasetVector gcpDatasetVector, DatasetVector tpDatasetVector, BlockAdjustmentParameter parameter, String outputFolderPath, Datasource targetDatasource, String imageSummaryDatasetName, String mosaickingDatasetName)` 区域网平差
`boolean`	BlockAdjustment.`applyRPC(DatasetImage[] images, String rpcFolderPath)` 应用RPC模型
`DatasetImage`	RadiometricCorrection.`atmosphericCorrection(DatasetImage sourceDatasetImage, AtmosphericCorrectionParameter parameter, String outputFilePath)` 已过时。
`DatasetImage`	RadiometricCorrection.`atmosphericCorrection(DatasetImage sourceDatasetImage, AtmosphericCorrectionParameter parameter, String outputFilePath, ImageOutputOption outOption)` 已过时。
`DatasetImage[]`	RadiometricCorrection.`atmosphericCorrectionLUTBatch(DatasetImage[] datasetImages, AtmosphericCorrectionParameter parameter, String imageOutDir, String suffixName, int parallelNum, ImageOutputOption outputOption)` 批量进行基于查找表法的大气校正。
`DatasetImage[]`	ImageStretching.`bandComposite(DatasetImage[] datasetImages, ComposeTrueColorParameter parameter, String outputDirectory, int parallelNumber, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 真彩色输出
`DatasetImage[]`	ImageStretching.`bandComposite(DatasetImage[] datasetImages, int redBand, int greenBand, int blueBand, String outputDirectory, int parallelNumber)` 批量真彩色输出
`DatasetImage[]`	ImageStretching.`bandComposite(DatasetImage[] datasetImages, int redBand, int greenBand, int blueBand, String outputDirectory, int parallelNumber, ImageOutputOption outputOption)` 批量真彩色输出
`DatasetImage`	ImageStretching.`bandComposite(DatasetImage sourceDataset, int redBand, int greenBand, int blueBand, String outputFilePath)` 真彩色输出。
`DatasetImage`	ImageStretching.`bandComposite(DatasetImage sourceDataset, int redBand, int greenBand, int blueBand, String outputFilePath, ImageOutputOption outOption)` 真彩色输出。
`DatasetImage[]`	Registration.`baseMapRegistrate(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages, RegistrateParameter parameter, String outputDirectory, ImageOutputOption outOption)` 参考影像配准
`DatasetImage[]`	Registration.`baseMapRegistrate(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages, RegistrateParameter parameter, String outputDirectory, ImageOutputOption outOption)` 参考影像配准
`DatasetVector`	DOMAccuracyChecker.`calculateCheckBlock(BlockAbsoluteAccuracyParameter parameter, DatasetImage[] referenceImages, String outputCoverageDatasetName)` 计算影像区域检测的分块数据集
`CameraType`	ImageTools.`cameraTypeFromImageName(DatasetImage sourceDatasetImage)` 根据影像名称获取相机类型
`AbsoluteAccuracyResult`	DOMAccuracyChecker.`checkAbsoluteAccuracy(DOMAccuracyCheckerParameter parameter, DatasetImage[] referenceImages, String outputCheckpointsDatasetName, String outputCoverageDatasetName)` 评价影像的绝对精度
`AbsoluteAccuracyResult`	DOMAccuracyChecker.`checkBlockAbsoluteAccuracy(BlockAbsoluteAccuracyParameter parameter, DatasetImage[] referenceImages, String outputCheckpointsDatasetName, String outputCoverageDatasetName)` 评价影像区域的绝对精度
`DatasetImage[]`	ImageTools.`clipImage(DatasetImage[] datasetImages, DatasetVector clipDataset, ElevationData elevationData, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 遥感影像裁剪
`DatasetImage`	ImageTools.`clipImage(DatasetImage datasetImage, GeoRegion[] clipRegions, ElevationData elevationData, String outputFilePath, ImageOutputOption outputOption)` 遥感影像裁剪
`DatasetImage`	ImageTools.`clipImage(DatasetImage datasetImage, Rectangle2D rectClip, ElevationData elevationData, String outputFilePath, ImageOutputOption outputOption)` 遥感影像裁剪
`DatasetImage[]`	ImageCloudRemoval.`cloudRemove(DatasetImage[] srcDatasets, DatasetImage[] refDatasets, DatasetVector maskVector, ImageCloudRemovalColorBalanceMethod colorBalance, double bufferRadius, double resolution, String outputDirectory, int parallelNum, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 云修补接口
`DatasetImage[]`	ImageCloudRemoval.`cloudRemove(DatasetImage[] srcDatasets, DatasetImage[] refDatasets, DatasetVector maskVector, ImageCloudRemovalColorBalanceMethod colorBalance, double bufferRadius, double resolution, String outputDirectory, int parallelNum, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 云修补接口
`DatasetImage[]`	ImageCloudRemoval.`cloudRemove(DatasetImage[] srcDatasets, DatasetImage[] refDatasets, DatasetVector maskVector, ImageCloudRemovalColorBalanceMethod colorBalance, double bufferRadius, String outputDirectory, int parallelNum, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 云修补接口
`DatasetImage[]`	ImageCloudRemoval.`cloudRemove(DatasetImage[] srcDatasets, DatasetImage[] refDatasets, DatasetVector maskVector, ImageCloudRemovalColorBalanceMethod colorBalance, double bufferRadius, String outputDirectory, int parallelNum, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 云修补接口
`GeoRegion`	ImageTools.`computeCoverage(DatasetImage datasetImage)` 计算影像范围
`DatasetVector`	ImageTools.`computeCoverages(DatasetImage[] datasetImages, Datasource targetDatasource, String targetDatasetName)` 计算影像范围
`int[][]`	ImageTools.`computeEdgeMatchingTasks(DatasetImage[] sourceImages, Boolean isSaveRepeated, PrjCoordSys targetPrj)` 根据影像接边关系计算任务根据输入影像的相交关系，返回的结果数组为一个二维数组，结果数组的长度与输入原始影像数组长度相等。
`GeoRegion`	ImageTools.`computeFootprint(DatasetImage datasetImage, int downSampleFactor)` 计算影像边界
`GeoRegion`	ImageTools.`computeFootprint(DatasetImage datasetImage, int downSampleFactor, double noDataValue)` 计算影像边界
`DatasetVector`	ImageTools.`computeFootprints(DatasetImage[] datasetImages, int downSampleFactor, Datasource targetDatasource, String targetDatasetName)` 计算影像边界
`DatasetVector`	ImageTools.`computeFootprints(DatasetImage[] datasetImages, int downSampleFactor, Datasource targetDatasource, String targetDatasetName, int parallelNumber)` 计算影像边界
`DatasetVector`	ImageTools.`computeFootprints(DatasetImage[] datasetImages, int downSampleFactor, Datasource targetDatasource, String targetDatasetName, int parallelNumber, double noDataValue)` 计算影像边界
`int[][]`	ImageTools.`computeReferenceMatchingTasks(DatasetImage[] sourceImages, DatasetImage[] referenceImages, PrjCoordSys targetPrj)` 根据输入影像与参考影像相交关系计算任务根据输入影像与参考影像的相交关系，构建影像的参考影像的关系。
`int[][]`	ImageTools.`computeReferenceMatchingTasks(DatasetImage[] sourceImages, DatasetImage[] referenceImages, PrjCoordSys targetPrj)` 根据输入影像与参考影像相交关系计算任务根据输入影像与参考影像的相交关系，构建影像的参考影像的关系。
`DatasetImage[]`	ImageTools.`correctImageSpecifiedValues(DatasetImage[] datasetImages, DatasetImage[] maskDatasets, boolean isDetectNoData, double noDataCorrectValue, Map<Double,Double> correctTable, boolean isBindBand, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 修改影像范围内的值。
`DatasetImage[]`	ImageTools.`correctImageSpecifiedValues(DatasetImage[] datasetImages, DatasetImage[] maskDatasets, boolean isDetectNoData, double noDataCorrectValue, Map<Double,Double> correctTable, boolean isBindBand, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 修改影像范围内的值。
`DatasetImage[]`	ImageDehazing.`dehaze(DatasetImage[] srcDatasets, ImageDehzParameter parameter, String outputDirectory, int parallelNum)`
`DatasetImage[]`	ImageDehazing.`dehaze(DatasetImage[] srcDatasets, ImageDehzParameter parameter, String outputDirectory, int parallelNum, ImageOutputOption outputOption)` 影像去雾批处理
`DatasetImage`	ImageDehazing.`dehaze(DatasetImage srcDataset, ImageDehzParameter parameter, String resultPath, int parallelNum)`
`DatasetImage`	ImageDehazing.`dehaze(DatasetImage srcDataset, ImageDehzParameter parameter, String resultPath, int parallelNum, ImageOutputOption outputOption)`
`DatasetImage[]`	ImageDesaturation.`desaturate(DatasetImage[] datasetImages, ImageDesaturationParameter parameter, String outputDirectory, int parallelNumber, ParallelStrategy parallelStrategy, ImageOutputOption outputOption)` 影像高亮去饱和
`DatasetVector`	BuildingDetector.`detectBuildingMask(DatasetImage[] datasetImages, Datasource datasource, String resultDatasetName, int parallelNumber)` 提取建筑物掩膜，返回建筑物掩膜矢量掩膜，默认提取掩膜矢量面最小像素数目为 64
`DatasetVector`	BuildingDetector.`detectBuildingMask(DatasetImage[] datasetImages, int nMinPixels, Datasource datasource, String resultDatasetName, int parallelNumber)` 提取建筑物掩膜，返回建筑物掩膜矢量掩膜
`DatasetVector`	BuildLatte.`detectBuildLatte(DatasetImage[] datasetImages, DatasetVector datasetVectorBuild, BuildLatteParameter buildLatteParameter, Datasource datasource, String resultDatasetName)` 批量提取建筑物变形面，返回结果为矢量数据；
`DatasetVector`	BuildLatte.`detectBuildLatte(DatasetImage[] datasetImages, DatasetVector datasetVectorBuild, BuildLatteParameter buildLatteParameter, String rpcDirectory, Datasource datasource, String resultDatasetName)` 已过时。
`DatasetVector`	CloudDetector.`detectCloudMask(DatasetImage[] datasetImages, Datasource datasource, String resultDatasetName)` 提取云掩膜，返回矢量云掩膜数据集。
`DatasetVector`	CloudDetector.`detectCloudMask(DatasetImage[] datasetImages, Datasource datasource, String resultDatasetName, int parallelNumber)` 提取云掩膜，返回矢量云掩膜数据集。
`DatasetVector`	CloudDetector.`detectCloudMask(DatasetImage[] datasetImages, int nMinPixels, Datasource datasource, String resultDatasetName)` 提取云掩膜，返回矢量云掩膜数据集。
`DatasetVector`	CloudDetector.`detectCloudMask(DatasetImage[] datasetImages, int nMinPixels, Datasource datasource, String resultDatasetName, int parallelNumber)` 提取云掩膜，返回矢量云掩膜数据集。
`DatasetVector`	CloudDetector.`detectCloudMask(DatasetImage[] datasetImages, int nMinPixels, Datasource datasource, String resultDatasetName, int parallelNumber, String outRasterMaskDirectory, int downSampleFactor)` 提取云掩膜，返回矢量云掩膜数据集。
`DatasetImage[]`	ImageTools.`detectImageSpecifiedValues(DatasetImage[] datasetImages, boolean isDetectNoData, double[] specifiedValues, boolean isBindBand, String outputDirectory, int parallelNumber)` 查找影像有效范围内指定值，并返回掩膜。
`DatasetVector`	MountainLatte.`detectMountainLatte(DatasetImage[] datasetImages, MountainLatteParameter mountainDeformParameter, String rpcDirectory, Datasource datasource, String resultDatasetName)` 批量提取山体变形拉花区域，返回结果为矢量数据（此接口主要针对于本软件生产的正射融合结果(*meta.xml文件)+提供rpc路径做模糊查找）；
`DatasetVector`	RoadLatte.`detectRoadLatte(DatasetImage[] datasetImages, DatasetVector datasetVectorRoad, RoadLatteParameter roadLatteParameter, String rpcDirectory, Datasource datasource, String resultDatasetName)` 批量提取道路变形拉花区域，返回结果为变形矢量面区域数据；
`DatasetVector`	WaterBodyDetector.`detectWaterBodyMask(DatasetImage[] datasetImages, int nMinPixels, Datasource datasource, String resultDatasetName, int parallelNumber, int downSampleFactor)` 提取水体掩膜，返回矢量水体掩膜数据集。
`DatasetImage[]`	ElevationDatumConversion.`elevationDatumConversion(DatasetImage[] datasetImages, ElevationDatumConversionType eType, String outputDirectory, String userGeoidFile, int threadNum, ImageOutputOption outOption)` 高程转换
`DatasetImage[]`	ImageEnhancement.`enhanceContrast(DatasetImage[] datasetImages, String outputDirectory, int[] bandIndexs, double clipLimit, BlockSizeOption blockSize, int parallelNumber, ImageOutputOption outputOption)` 对比度增强
`BigInteger`	ImageTools.`estimateImgDatasetSize(DatasetImage datasetImage)` 估算数据集大小
`DatasetImage`	ImageExport.`export(DatasetImage sourceDataset, String targetImagePath, ImageExportParameter parameter, int parallelNumber)` 影像导出。
`DatasetImage[]`	ImageExport.`exports(DatasetImage[] datasetImages, String outputDirectory, ImageExportParameter parameter, int parallelNumber)` 批量导出。
`DatasetImage[]`	ImageExport.`exports(DatasetImage[] datasetImages, String outputDirectory, ImageExportParameter parameter, int parallelNumber, ParallelStrategy parallelStrategy)` 批量导出。
`DatasetImage`	ImageTransformation.`fftForward(DatasetImage sourceDataset, int[] bandIndexs, Datasource targetDatasource, String targetDatasetName)` 快速傅里叶正变换。
`DatasetImage`	ImageTransformation.`fftForward(DatasetImage sourceDataset, int[] bandIndexs, String outputFilePath)` 快速傅里叶正变换。
`DatasetImage`	ImageTransformation.`fftForward(DatasetImage sourceDataset, int[] bandIndexs, String outputFilePath, ImageOutputOption outOption)` 快速傅里叶正变换。
`DatasetImage`	ImageTransformation.`fftInverse(DatasetImage sourceDataset, PixelFormat pixelFormat, Datasource targetDatasource, String targetDatasetName)` 快速傅里叶逆变换。
`DatasetImage`	ImageTransformation.`fftInverse(DatasetImage sourceDataset, PixelFormat pixelFormat, String outputFilePath)` 快速傅里叶逆变换。
`DatasetImage`	ImageTransformation.`fftInverse(DatasetImage sourceDataset, PixelFormat pixelFormat, String outputFilePath, ImageOutputOption outOption)` 快速傅里叶逆变换。
`DatasetImage`	BinocularStereo.`fillWaterBodyDSMs(DatasetImage dsmDataset, DatasetVector datasetVector, String targetImageFile, String fieldName, boolean isSmooth, ImageOutputOption outputOption)` DSM水域填值
`DatasetImage`	ImageFilter.`filter(DatasetImage sourceDataset, FilterParameter parameter, Datasource targetDatasource, String targetDatasetName)` 滤波，包括空域滤波，自定义滤波，Forest滤波、Lee滤波、Kuan滤波等。
`DatasetImage`	ImageFilter.`filter(DatasetImage sourceDataset, FilterParameter parameter, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 滤波，包括空域滤波，自定义滤波，Forest滤波、Lee滤波、Kuan滤波等。
`DatasetImage`	ImageFilter.`filter(DatasetImage sourceDataset, FilterParameter parameter, String outputFilePath)` 滤波，包括空域滤波，自定义滤波，Forest滤波、Lee滤波、Kuan滤波等。
`DatasetImage`	ImageFilter.`filter(DatasetImage sourceDataset, FilterParameter parameter, String outputFilePath, ImageOutputOption outOption)` 滤波，包括空域滤波，自定义滤波，Forest滤波、Lee滤波、Kuan滤波等。
`DatasetImage`	BinocularStereo.`filterDSM(DatasetImage dsmDataset, DSMFilterParameter parameter, int parallelNumber, String outputDEMPath, ImageOutputOption outputOption)` DSM滤波
`DatasetImage`	BinocularStereo.`filterDSM(DatasetImage dsmDataset, DSMFilterParameter parameter, String outputDEMPath)` DSM滤波
`DatasetImage[]`	BinocularStereo.`filterDSMs(DatasetImage[] dsmDatasets, DSMFilterParameter parameter, int parallelNumber, String outputDir, ImageOutputOption outputOption)` 批量DSM滤波
`DatasetImage`	ImageFilter.`frequencyFilter(DatasetImage sourceDataset, FrequencyFilterParameter parameter, Datasource targetDatasource, String targetDatasetName)` 频域滤波。
`DatasetImage`	ImageFilter.`frequencyFilter(DatasetImage sourceDataset, FrequencyFilterParameter parameter, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 频域滤波。
`DatasetImage`	ImageFilter.`frequencyFilter(DatasetImage sourceDataset, FrequencyFilterParameter parameter, String outputFilePath)` 频域滤波。
`DatasetImage`	ImageFilter.`frequencyFilter(DatasetImage sourceDataset, FrequencyFilterParameter parameter, String outputFilePath, ImageOutputOption outOption)` 频域滤波。
`static ImageMetadata`	ImageMetadata.`fromDataset(DatasetImage datasetImage)` 获取数据集中的影像元信息对象，也可以直接从 DatasetImage 对象中通过 getImageMetadata 接口获取。
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber, ParallelStrategy parallelStrategy)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber, ParallelStrategy parallelStrategy)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, int parallelNumber)` 批量融合
`DatasetImage[]`	ImageFusion.`fuse(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, int parallelNumber)` 批量融合
`DatasetImage`	ImageFusion.`fuse(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath)` 影像融合
`DatasetImage`	ImageFusion.`fuse(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath, double sharpCoeff, ImageOutputOption outputOption, int parallelNum)` 影像融合
`DatasetImage`	ImageFusion.`fuse(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath, ImageOutputOption outputOption, int parallelNum)` 影像融合
`DatasetImage`	ImageFusion.`fuse(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath, int parallelNum)` 影像融合生成高分辨率的多光谱影像
`DatasetImage[]`	Registration.`fuseRegistrate(DatasetImage[] muxDatasetImages, DatasetImage[] panReferenceImages, RegistrateParameter parameter, String outputDirectory, ImageOutputOption outOption)` 多光谱和全色配准
`DatasetImage[]`	Registration.`fuseRegistrate(DatasetImage[] muxDatasetImages, DatasetImage[] panReferenceImages, RegistrateParameter parameter, String outputDirectory, ImageOutputOption outOption)` 多光谱和全色配准
`DatasetImage[]`	ImageFusion.`fuseWithPredefinedWeight(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber, ParallelStrategy parallelStrategy, boolean isPairing)` 内部调用资源文件中的融合权重
`DatasetImage[]`	ImageFusion.`fuseWithPredefinedWeight(DatasetImage[] muxDatasetImages, DatasetImage[] panDatasetImages, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputDirectory, double sharpCoeff, ImageOutputOption outputOption, int parallelNumber, ParallelStrategy parallelStrategy, boolean isPairing)` 内部调用资源文件中的融合权重
`DatasetImage`	ImageFusion.`fuseWithPredefinedWeight(DatasetImage muxDatasetImage, DatasetImage panDatasetImage, FusionMethod fusionMethod, ResampleMethod resampleMethod, String outputFilePath, double sharpCoeff, ImageOutputOption outputOption, int parallelNum, SensorFusionWeights sensorFusionWeights)` 使用自定义权重进行影像融合
`boolean`	BinocularStereo.`generateCloudPoints(DatasetImage backwardImageDataset, DatasetImage forwardImageDataset, DatasetImage nadImageDataset, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, String pointcloudPath)` 生成点云
`DatasetVector`	BinocularStereo.`generateCloudPoints(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, Datasource outDatasource, String datasetName)` 已过时。
`DatasetImage`	BinocularStereo.`generateDEM(DatasetImage backwardImageDataset, DatasetImage forwardImageDataset, DatasetImage nadImageDataset, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, int parallelNumber, String outputDEMPath, ImageOutputOption outputOption)` 生成DEM
`DatasetImage`	BinocularStereo.`generateDEM(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, int parallelNumber, String outputDEMPath, ImageOutputOption outputOption)` 双线阵生成DEM
`DatasetImage`	BinocularStereo.`generateDEM(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, String outputDEMPath)` 生成DEM
`DatasetImage[]`	BinocularStereo.`generateDEMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, int parallelNumber, String outputFolderPath, ImageOutputOption outputOption)` 批量生成DEM
`DatasetImage[]`	BinocularStereo.`generateDEMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, int parallelNumber, String outputFolderPath, ImageOutputOption outputOption)` 批量生成DEM
`DatasetImage[]`	BinocularStereo.`generateDEMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DEM
`DatasetImage[]`	BinocularStereo.`generateDEMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DEM
`DatasetImage[]`	BinocularStereo.`generateDEMs(DatasetImage[] imageDatasets, String rpcsPath, GenerateDSMParameter parameter, DSMFilterParameter parameterFilter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DEM
`DatasetImage`	BinocularStereo.`generateDSM(DatasetImage backwardImageDataset, DatasetImage forwardImageDataset, DatasetImage nadImageDataset, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, String outputDSMPath, ImageOutputOption outputOption)` 生成DSM
`DatasetImage`	BinocularStereo.`generateDSM(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, String outputDSMPath, ImageOutputOption outputOption)` 双线阵生成DSM
`DatasetImage`	BinocularStereo.`generateDSM(DatasetImage forwardImageDataset, DatasetImage backwardImageDataset, String rpcsPath, GenerateDSMParameter parameter, String outputDSMPath)` 生成DSM
`DatasetImage[]`	BinocularStereo.`generateDSMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, String outputFolderPath, ImageOutputOption outputOption)` 批量生成DSM
`DatasetImage[]`	BinocularStereo.`generateDSMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, int parallelNumber, String outputFolderPath, ImageOutputOption outputOption)` 批量生成DSM
`DatasetImage[]`	BinocularStereo.`generateDSMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DSM--双线阵
`DatasetImage[]`	BinocularStereo.`generateDSMs(DatasetImage[] forwardImageDatasets, DatasetImage[] backwardImageDatasets, String rpcsPath, GenerateDSMParameter parameter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DSM--双线阵
`DatasetImage[]`	BinocularStereo.`generateDSMs(DatasetImage[] imageDatasets, String rpcsPath, GenerateDSMParameter parameter, String workDir, int parallelNumber, String outputDirectory, ImageOutputOption outputOption)` 批量生成DSM
`DatasetImage`	Orthorectification.`generateOrthophoto(DatasetImage sourceDatasetImage, String rpcPath, OrthorectificationParameter parameter, String outputFilePath)` 根据 RPC 信息生成正射影像
`DatasetImage`	Orthorectification.`generateOrthophoto(DatasetImage sourceDatasetImage, String rpcPath, OrthorectificationParameter parameter, String outputFilePath, ImageOutputOption outOption)` 根据 RPC 信息生成正射影像
`DatasetImage[]`	Orthorectification.`generateOrthophotos(DatasetImage[] datasetImages, String rpcDirectory, OrthorectificationParameter parameter, String outputDirectory)` 批量生成正射影像
`DatasetImage[]`	Orthorectification.`generateOrthophotos(DatasetImage[] datasetImages, String rpcDirectory, OrthorectificationParameter parameter, String outputDirectory, ImageOutputOption outOption, int parallelNumber)` 批量生成正射影像
`DatasetImage[]`	Orthorectification.`generateOrthophotos(DatasetImage[] datasetImages, String rpcDirectory, OrthorectificationParameter parameter, String outputDirectory, ImageOutputOption outOption, int parallelNumber, ParallelStrategy parallelStrategy)` 批量生成正射影像
`DatasetImage[]`	Orthorectification.`generateOrthophotos(DatasetImage[] datasetImages, String rpcDirectory, OrthorectificationParameter parameter, String outputDirectory, int parallelNumber)` 批量生成正射影像
`DatasetImage[]`	ImageColorBalance.`globalAndLocalColorBalancing(DatasetImage[] sourceDatasets, Datasource targetDatasource)` 已过时。
`DatasetImage[]`	ImageColorBalance.`globalAndLocalColorBalancing(DatasetImage[] sourceDatasets, String outputDirectory, FileType fileType)` 已过时。
`boolean`	ImageMosaic.`histogramColorBalancing(DatasetMosaic datasetMosaic, DatasetImage referenceImage)` 直方图匹配匀色。
`boolean`	ImageTools.`imageToLonLat(DatasetImage[] images, DatasetVector nameIndicesDataset, DatasetVector gcpDatasetVector, DatasetVector tpDatasetVector, ElevInterpolator elevInterpolator)` 控制点和连接点像方转物方坐标
`Map<Integer,List<Integer>>`	ImageTools.`intersectImageCoverage(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages)` 查询相交影像
`Map<Integer,List<Integer>>`	ImageTools.`intersectImageCoverage(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages)` 查询相交影像
`DatasetVector`	ImageTools.`lonLatToImage(DatasetImage[] images, DatasetVector nameIndicesDataset, DatasetVector datasetVector, String pointXField, String pointYField, String pointZField, String resultFieldPrefix)` 控制点和连接点物方转像方坐标
`List<GroundControlPoint>`	ImageMatcher.`matchGroundControlPoints(ImageMatchParameter parameter, DatasetImage[] referenceImages)` 生成地面控制点
`DatasetVector`	ImageMatcher.`matchGroundControlPoints(ImageMatchParameter parameter, DatasetImage[] referenceImages, String outputDatasetName)` 生成地面控制点
`DatasetImage`	BinocularStereo.`mergeImages(DatasetImage[] imageDatasets, String outputFile)` DSM影像羽化拼接
`DatasetImage`	BinocularStereo.`mergeImages(DatasetImage[] imageDatasets, String outputFile, boolean isNoDataFill, ElevationData elevationData, int threadNum, ImageOutputOption outputOption)` DSM影像羽化拼接
`DatasetImage`	BinocularStereo.`mergeImages(DatasetImage[] imageDatasets, String outputFilePath, ImageOutputOption outputOption)` DSM影像羽化拼接
`DatasetImage`	BinocularStereo.`mergeImages(DatasetImage[] imageDatasets, String outputFile, String workDir, ImageOutputOption outputOption)` 已过时。
`DatasetImage[]`	MountainRepair.`mountainLatteRepair(DatasetImage[] datasetImages, DatasetImage[] refDatasetImages, DatasetVector datasetMaskVector, String latteFieldName, Datasource dataResSource, String resultDatasetName, String imageOutDir, Rectangle2D bounds, double bufferRadius, double SSIMValue, ImageCloudRemovalColorBalanceMethod colorBalance, int parallelNum, ImageOutputOption outputOption)` 进行山体拉花修复的，返回结果为修复的影像数据集和矢量结果数据；
`DatasetImage[]`	MountainRepair.`mountainLatteRepair(DatasetImage[] datasetImages, DatasetImage[] refDatasetImages, DatasetVector datasetMaskVector, String latteFieldName, Datasource dataResSource, String resultDatasetName, String imageOutDir, Rectangle2D bounds, double bufferRadius, double SSIMValue, ImageCloudRemovalColorBalanceMethod colorBalance, int parallelNum, ImageOutputOption outputOption)` 进行山体拉花修复的，返回结果为修复的影像数据集和矢量结果数据；
`DatasetImage[]`	Registration.`muxBandRegistrate(DatasetImage[] sourceDatasetImages, int referenceBandIndex, String outputDirectory, ImageOutputOption outOption)` 波段间配准
`DatasetImage[]`	Registration.`muxBandRegistrate(DatasetImage[] sourceDatasetImages, String outputDirectory, ImageOutputOption outOption)` 波段间配准
`Map<Integer,Integer>`	ImageTools.`pairImageName(DatasetImage[] muxDatasets, DatasetImage[] panDatasets)` 影像名称配对
`Map<Integer,Integer>`	ImageTools.`pairImageName(DatasetImage[] muxDatasets, DatasetImage[] panDatasets)` 影像名称配对
`DatasetImage`	RadiometricCorrection.`radiometricCalibration(DatasetImage sourceDatasetImage, RadiometricCalibrationType radiometricCalibrationType, String outputFilePath)` 已过时。
`DatasetImage`	RadiometricCorrection.`radiometricCalibration(DatasetImage sourceDatasetImage, RadiometricCalibrationType radiometricCalibrationType, String outputFilePath, ImageOutputOption outOption)` 已过时。
`DatasetImage[]`	RadiometricCorrection.`radiometricCalibrationBatch(DatasetImage[] datasetImages, RadiometricCalibrationType radiometricCalibrationType, String imageOutDir, String suffixName, int parallelNum, ImageOutputOption outputOption)` 批量进行辐射定标。
`DatasetImage[]`	ImageGeoreferencing.`rectify(DatasetImage[] sourceImages, DatasetImage[] referenceImages, ImageGeoreferencingParameter parameter, String outputDirectory, ImageOutputOption outOption, int parallelNumber)` 影像地理配准
`DatasetImage[]`	ImageGeoreferencing.`rectify(DatasetImage[] sourceImages, DatasetImage[] referenceImages, ImageGeoreferencingParameter parameter, String outputDirectory, ImageOutputOption outOption, int parallelNumber)` 影像地理配准
`DatasetImage[]`	ImageTools.`resampleImage(DatasetImage[] datasetImages, double resolution, String outputDirectory, ImageOutputOption outputOption, int parallelNumber)` 遥感影像重采样
`boolean`	Registration.`roughCorrect(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages, ElevationData elevationData, boolean isApplyRpc, String outputDir)` 几何精度粗校正，对初始误差比较大影像进行位置粗校正，将影像的精度校正到大概 15 米。
`boolean`	Registration.`roughCorrect(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages, ElevationData elevationData, boolean isApplyRpc, String outputDir)` 几何精度粗校正，对初始误差比较大影像进行位置粗校正，将影像的精度校正到大概 15 米。
`DatasetImage`	ImageStretching.`saturate(DatasetImage sourceDataset, ImageSaturateParameter parameter, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 已过时。
`DatasetImage`	ImageStretching.`saturate(DatasetImage sourceDataset, ImageSaturateParameter parameter, String outputFilePath)` 影像饱和度调整，可改变影像显示的鲜艳程度。
`DatasetImage`	ImageStretching.`saturate(DatasetImage sourceDataset, ImageSaturateParameter parameter, String outputFiltePath, ImageOutputOption outOption)` 影像饱和度调整，可改变影像显示的鲜艳程度。
`SensorCategory`	ImageTools.`sensorCategoryFromImageName(DatasetImage sourceDatasetImage)` 根据影像名称获取影像传感器类型
`DOMAccuracyChecker`	DOMAccuracyChecker.`setCheckImages(DatasetImage[] checkImages)` 设置待评价的影像，支持正射影像以及带 RPC 的影像数据集
`ImageMatcher`	ImageMatcher.`setMatchImages(DatasetImage[] matchImages)` 设置待匹配的影像数据集
`ImageMatcher`	ImageMatcher.`setMatchImages(DatasetImage[] matchImages, DatasetImage[] anchorImages)` 设置待匹配的影像数据集
`ImageMatcher`	ImageMatcher.`setMatchImages(DatasetImage[] matchImages, DatasetImage[] anchorImages)` 设置待匹配的影像数据集
`ColorBalanceParameter`	ColorBalanceParameter.`setReferenceDataset(DatasetImage referenceDataset)` 设置参考影像。
`void`	ImageMetadata.`setToDataset(DatasetImage datasetImage)` 将对象设置到影像数据集中
`Map<DatasetImage,DatasetImage[]>`	ImageCloudRemoval.`sortReferencesByRules(DatasetImage[] srcDatasets, DatasetImage[] refDatasets, DatasetVector maskVector, ImageCloudRemovalSortingMethod sortingMethod)` 参考影像排序接口
`Map<DatasetImage,DatasetImage[]>`	ImageCloudRemoval.`sortReferencesByRules(DatasetImage[] srcDatasets, DatasetImage[] refDatasets, DatasetVector maskVector, ImageCloudRemovalSortingMethod sortingMethod)` 参考影像排序接口
`List<List<Integer>>`	Registration.`splitBaseMapRegistrateTasks(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages)` 分割参考影像配准任务
`List<List<Integer>>`	Registration.`splitBaseMapRegistrateTasks(DatasetImage[] sourceDatasetImages, DatasetImage[] referenceImages)` 分割参考影像配准任务
`List<List<Integer>>`	Registration.`splitFuseRegistrateTasks(DatasetImage[] muxDatasetImages, DatasetImage[] panReferenceImages)` 分割多光谱和全色配准任务
`List<List<Integer>>`	Registration.`splitFuseRegistrateTasks(DatasetImage[] muxDatasetImages, DatasetImage[] panReferenceImages)` 分割多光谱和全色配准任务
`List<List<Integer>>`	ImageFusion.`splitFuseTasks(DatasetImage[] muxDatasetImages, DatasetImage[] panReferenceImages)` 分割融合任务
`List<List<Integer>>`	ImageFusion.`splitFuseTasks(DatasetImage[] muxDatasetImages, DatasetImage[] panReferenceImages)` 分割融合任务
`List<List<Integer>>`	ImageMatcher.`splitGCPMatchTasks(DatasetImage[] referenceImages)` 分割控制点匹配任务
`DatasetImage[]`	ImageStretching.`stretch(DatasetImage[] datasetImages, ImageStretchingParameter parameter, String outputDirectory, int parallelNumber)` 批量拉伸。
`DatasetImage[]`	ImageStretching.`stretch(DatasetImage[] datasetImages, ImageStretchingParameter parameter, String outputDirectory, int parallelNumber, ImageOutputOption outOption)` 批量拉伸。
`DatasetImage[]`	ImageStretching.`stretch(DatasetImage[] datasetImages, ImageStretchingParameter parameter, String outputDirectory, int parallelNumber, ParallelStrategy parallelStrategy, ImageOutputOption outOption)` 批量拉伸。
`DatasetImage`	ImageStretching.`stretch(DatasetImage sourceDataset, ImageStretchingParameter parameter, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 已过时。
`DatasetImage`	ImageStretching.`stretch(DatasetImage sourceDataset, ImageStretchingParameter parameter, String outputFilePath)` 影像拉伸。
`DatasetImage`	ImageStretching.`stretch(DatasetImage sourceDataset, ImageStretchingParameter parameter, String outputFilePath, ImageOutputOption outOption)` 影像拉伸，可通过拉伸的方式改变影像值范围。
`DatasetImage`	ImageFilter.`userdefinedFrequencyFilter(DatasetImage sourceDataset, DatasetVector checkRegionDataset, boolean isCheckInRegion, Datasource targetDatasource, String targetDatasetName)` 自定义频域滤波。
`DatasetImage`	ImageFilter.`userdefinedFrequencyFilter(DatasetImage sourceDataset, DatasetVector checkRegionDataset, boolean isCheckInRegion, Datasource targetDatasource, String targetDatasetName, ImageOutputOption outOption)` 自定义频域滤波。
`DatasetImage`	ImageFilter.`userdefinedFrequencyFilter(DatasetImage sourceDataset, DatasetVector checkRegionDataset, boolean isCheckInRegion, String outputFilePath)` 自定义频域滤波。
`DatasetImage`	ImageFilter.`userdefinedFrequencyFilter(DatasetImage sourceDataset, DatasetVector checkRegionDataset, boolean isCheckInRegion, String outputFilePath, ImageOutputOption outOption)` 自定义频域滤波。
`DatasetImage[]`	ImageColorBalance.`wallisColorBalancing(DatasetImage[] sourceDatasets, DatasetImage referenceImage, double brightness, double constant, Datasource targetDatasource)` 已过时。
`DatasetImage[]`	ImageColorBalance.`wallisColorBalancing(DatasetImage[] sourceDatasets, DatasetImage referenceImage, double brightness, double constant, Datasource targetDatasource)` 已过时。
`DatasetImage[]`	ImageColorBalance.`wallisColorBalancing(DatasetImage[] sourceDatasets, DatasetImage referenceImage, double brightness, double constant, String outputDirectory, FileType fileType)` 已过时。
`DatasetImage[]`	ImageColorBalance.`wallisColorBalancing(DatasetImage[] sourceDatasets, DatasetImage referenceImage, double brightness, double constant, String outputDirectory, FileType fileType)` 已过时。
`boolean`	ImageMosaic.`wallisColorBalancing(DatasetMosaic datasetMosaic, DatasetImage referenceImage, double brightness, double constant)` Wallis匀色，对镶嵌数据集中的数据进行匀色，不改变原有数据，匀色后的结果以xml的方式保存到了轮廓数据集的ColorBanlance字段中。

参数类型为DatasetImage的com.supermap.image.processing中的构造器
构造器和说明
`DOMAccuracyChecker(DatasetImage[] checkImages, Datasource workDatasource)` 带参数的构造函数
`ImageMatcher(DatasetImage[] matchImages, Datasource workDatasource)` 带指定待匹配的影像和结果数据源的构造函数

com.supermap.mapping中DatasetImage的使用

返回DatasetImage的com.supermap.mapping中的方法
限定符和类型	方法和说明
`DatasetImage`	Map.`outputMapToDatasetImage(Datasource datasource, String datasetName, double resolution, Rectangle2D bounds, EncodeType encodeType)` 将地图输出为影像数据集。

com.supermap.realspace.threeddesigner中DatasetImage的使用

参数类型为DatasetImage的com.supermap.realspace.threeddesigner中的方法
限定符和类型	方法和说明
`static boolean`	CacheProcessor3D.`buildOSGB(DatasetGrid dataSetGrid, DatasetImage dataSetImage, int startLevel, int endLevel, String cacheName, String outputFolder, boolean isDxtCompress, boolean isLocalType)` 地形影像生成OSGB
`static boolean`	CacheProcessor3D.`buildS3M(DatasetGrid dataSetGrid, DatasetImage dataSetImage, int startLevel, int endLevel, String cacheName, String outputFolder, boolean isDxtCompress, boolean isLocalType)` 地形影像生成S3M

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com.supermap.data.DatasetImage