For 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.
Table of Contents
1. Remote Sensing and Digital Image 2. Remote Sensing Data Collection 3. Digital Image Processing Hardware and Software Considerations 4. Image Quality Assessment and Statistical Evaluation 5. Initial Display Alternatives and Scientific Visualization 6. Electromagnetic Radiation Principles and Radiometric 7. Geometric Correction 8. Image Enhancement 9. Thematic Information Extraction: Pattern Recognition 10. Information Extraction Using Artificial Intelligence 11. Thematic Information Extraction: Hyperspectral Image Analysis 12. Digital Change Detection 13. Thematic Map Accuracy Assessment Index