Introductory Digital Image Processing: A Remote Sensing PerspectiveFor junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. 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. |
Contents
Chapter 1Remote Sensing and Digital Image Processing | 1 |
Chapter 2Remote Sensing Data Collection | 35 |
Chapter 3Digital Image Processing Hardware and Software Considerations | 107 |
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absorption algorithm analysis angle atmospheric correction AVIRIS brightness values Charleston chlorophyll classification clusters Color Plate computed contrast stretch dataset detector digital image processing display Earth energy Engineering & Remote enhancement example expert system extracted feature space filter forest frequency function fuzzy Geostatistical green histogram hyperspectral data IKONOS image object imagery infrared input Jensen Land Cover land-cover Landsat Landsat MSS Landsat Thematic Mapper Landsat TM leaf linear array matrix mean vectors measurement MODIS NASA NDVI near-infrared neural network obtained orbit output panchromatic Photogrammetric Engineering pixel QuickBird radiant flux radiometric reflectance Remote Sensing remote sensing system remote sensor data satellite Savannah River Savannah River Site scan scene sensed data Sensing of Environment shown in Figure soil spatial resolution spectral space spectrum SPOT statistics surface Table terrain texture thermal infrared tion TM band training data Vegetation Index wavelength wetland