Introductory Digital Image Processing: A Remote Sensing Perspective
This revision of Introductory Digital Image Processing: A Remote Sensing Perspective continues to focus on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.
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Chapter 1Remote Sensing and Digital Image Processing
Chapter 2Remote Sensing Data Collection
Digital Frame Cameras
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absorption accuracy algorithm analysis atmospheric correction AVIRIS Bahia grass brightness values change detection Charleston chlorophyll clusters Color Plate computed dataset detector digital image processing display Earth endmember energy Engineering & Remote enhancement error ETM+ example expert system extracted feature space filter forest fuzzy geostatistical green histogram hyperspectral data IKONOS image differencing image object imagery infrared input Jensen Land Cover land-cover Landsat Landsat Thematic Mapper Landsat TM matrix measurements MODIS multispectral NASA NDVI near-infrared neural network obtained output panchromatic Photogrammetric Photogrammetric Engineering pixel QuickBird radiant flux radiometric reflectance remote sensing systems remote sensing-derived remotely sensed data sampling satellite Savannah River Savannah River Site scan scene Sensing of Environment sensor data shown in Figure spatial resolution spectral spectral space spectrum SPOT statistics surface Table terrain texture Thematic Mapper thermal infrared tion TM band training data transform Vegetation Index visual wavelength wetland