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About this book
An introduction to the use of satellite remote sensing in natural resources management. The main topics covered include satellite images, image processing systems, spectral regions, radiometric and geometric corrections, supervised and unsupervised classification and accuracy assessment.
Contents
PrefaceSatellite ImagesRaster Image DataRemote Sensing DetectorsScanning SystemsImage Scale and ResolutionMajor Satellite Systems Used in Natural Resources ManagementProblemsAdditional ReadingsImage Processing SystemsComputer FundamentalsDisplay of Panchromatic ImagesContrast EnhancementsDisplay of Color ImagesImage Magnification and ReductionProblemsAdditional RctionSpectral RegionsVegetation Spectral RelationshipsWater Spectral RelationshipsSoil Spectral RelationshipsSnow and Cloud Spectral RelationshipsThermal Remote SensingPotential ProblemsProblemsLiterature CitedAdditional ReadingsRadiometric CorrectionsDetector ErrorsCorrection for Atmospheric ScatteringProblemsLiterature CitedAdditional ReadingsGeometric CorrectionsMap ProjectionsMap Coordinate SystemsNational Map Accuracy StandardsSelection of Ground Control PointsImage Rectification ModelsPixel Resampling MethodsOrdering Rectified DataProblemsAdditional ReadingsUnsupervised ClassificationIntroductionHistogram-Based Unsupervised ClassificationSequential ClusteringIsodata ClusteringGrouping of Spectral ClassesProblemsAdditional ReadingsSupervised ClassificationIntroductionTraining FieldsBasic ClassifiersProblemsAdditional ReadingsAccuracy AssessmentIntroductionThe Error MatrixCollection of Reference DataProblemsAdditional ReadingsAppendixSolutions to Even-Numbered Problems
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