ENVI 4.5 Functional Summary - Exelis VIS

• USGS SDTS• ENVI Native Vector FormatInteractive Vector Layer QueryingJoin VectorsMultiple Vector SelectionOn-the-fly Vector Projection ConversionRaster to Vector ConversionsSplit VectorsVector Cursor QueryVector Display ZoomingVector EditingVector to Raster ConversionSpectral Analysis ToolsAnomaly DetectionAutomated Corner Clustering in N-D Scatter PlotBandMax Band OptimizationContinuum Removal of Images, SpectraDecision Tree ClassifierExtraction of Endmember SpectraIntegrated Spectral Viewing & AnalysisLinear Spectral UnmixingLeast Squares (LS) FitMatched FilteringMixture Tuned Matched FilteringN-Dimensional Visualizer (Scatter Plot)Pixel EditingPixel Purity Index (PPI)Registration Suppression AlgorithmSAM Target Finder With BandMaxSMACC Endmember Extraction & Sub-pixelAnalysisSPEAR Tools:• Change Detection - PCA• Change Detection - Subtractive• Pan-Sharpening• Lines of Communication - Water• Lines of Communication - Roads• Watercraft Finder• Relative Water Depth• Vegetation Delineation and Stress Detection• Spectral Analogues• TERCAT (Terrain Categorizations)Spectral Resampling:• Predefined Sensor Band Filters• User Defined Filters• Spectral Libraries and ImagesSpectral Analyst for Material IdentificationSpectral Angle Mapper (SAM)Spectral Feature Fitting (SFF)Spectral Hourglass WizardSpectral Information DivergenceSpectral Libraries Included:• Spectral Information Divergence• Minerals, Vegetation, Rocks, Water, Soils,Snow, Manmade• VNIR, SWIR, MWIR, LWIRSpectral Library Builder/ImporterSpectral Library ViewerSpectral MathSpectral Plots:• Boxcar Average of Pixel Spectra• Continuum Removal• Cursor Query of X,Y Plot Values• Drag and Drop Spectra Among Plot• From 3D SurfaceView• From Image Pixels (Z Profile)• From Spectral Libraries• From ROI Averages• Link Spectral Plots from Multiple Images• Plot Stacked Spectra• User-Defined Plot Functions• Wavenumber or WavelengthSpectral SlicesVegetation Guided Workflows• Fire Fuel Load• Agricultural Stress• Forest HealthVegetation Indices• Greenness• Light-use Efficiency• Canopy Nitrogen• Senescent Carbon• Canopy Water• Leaf PigmentVegetation Suppression AlgorithmTransformsBand RatiosColor Transforms:• RGB to HSV, HSL, or Munsell HSV• HSV, HSL, or Munsell HSV to RGBDecorrelation StretchIndependent Components AnalysisImage Sharpening:• Color Normalized Spectral• Gram-Schmidt Spectral• HSV and Brovey• PC Spectral• Preserving Spectral IntegrityMinimum Noise Fraction (MNF)Normalized Difference Vegetation Index (NDVI)Pan Sharpening (see Image Sharpening)Principal Components RotationSaturation StretchSynthetic Color ImageTasseled CapFiltersAdaptive Filters:• Frost, Enhanced Frost Gamma, Kuan, Lee,Enhanced Lee, Local Sigma, Bit ErrorConvolution Filters:• High & Low Pass, Laplacian, Directional,Gaussian, Median, Sobel, RobertsFiltering PreviewInteractive Fourier Filtering:• Forward Transform• Interactive Frequency Domain Masking• Inverse TransformMorphology Filters:• Dilate, Erode, Opening, ClosingTexture Filters:• Data Range, Mean, Variance, Entropy,Skewness, Homogeneity, Contrast,Dissimilarity, Second Moment, CorrelationUser-Defined Filter KernelsMathematics & StatisticsAutocorrelationBand HistogramsBand Math and Spectral Math:• Boolean Operators• Trigonometric Functions• Data Type Conversion Functions• Relational Operators• Many Other Mathematical ExpressionsCorrelogramsDisplay Statistics:• Minimum, Maximum, Mean, StandardDeviationImage Statistics:• Band Minimum, Maximum, Mean, StandardDeviation, Eigenvalues, Eigenvectors,Covariance, Correlation MatricesOutput Matrix Stats to Image Files:• Covariance Matrix• Correlation Matrix• EigenvectorsSemivariogramsImage ClassificationAccuracy AssessmentAIRSAR Scattering Mechanism ClassifierAutomatic Legends for Classified ImagesChange Detection, Thematic and GrayscaleImagesClassification PreviewClass StatisticsClassification Image from ROIsDecision TreesDensity SlicingInteractive User-Defined Rule ClassifierReceiver Operating Characteristic (ROC)Curves:• Find Optimal Classification Thresholds• Decrease False ClassificationsSeparate Classification Thresholds for EachClassSupervised Classifications:• Binary Encoding• Parallelepiped• Mahalanobis Distance• Minimum Distance• Maximum Likelihood• Neural Network• Spectral Angle Mapper (SAM)• Support Vector Machine (SVM)• TERCAT (Terrain Categorization)• Change Detection - PCA• Change Detection - SubtractionTraining Data From:• Regions of Interest• Pixel Spectra• Library SpectraUnsupervised Classifications:• K-means• IsodataVegetation Guided Workflows• Fire Fuel Load• Agricultural Stress• Forest HealthPost Classification ToolsAccuracy Assessment:• Kappa Coefficient• Confusion MatrixClassification to VectorClass StatisticsInteractive Class Overlay ToolReassign Class Colors, NamesSpatial Functions:• Buffer Zones Around Classes• Clump, Sieve, Combine• Majority & Minority Analysis• Segmentation Image(continued on page 4)