For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology.
Introductory Digital Image Processing: A Remote Sensing Perspective focuses 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 Pearson Series Geographic Information Science.
Now in full color, the Fourth Edition provides up-to-date information on analytical methods used to analyze digital remote sensing data. Each chapter contains a substantive reference list that can be used by students and scientists as a starting place for their digital image processing project or research. A new appendix provides sources of imagery and other geospatial information.
Table of contents
1. Remote Sensing and Digital Image Processing
2. Remote Sensing Data Collection
3. Digital Image Processing Hardware and Software
4. Image Quality Assessment and Statistical Evaluation
5. Display Alternatives and Scientific Visualization
6. Electromagnetic Radiation Principles and Radiometric Correction
7. Geometric Correction
8. Image Enhancement
9. Thematic Information Extraction: Pattern Recognition
10. Information Extraction Using Artificial Intelligence
11. Information Extraction Using Imaging Spectroscopy
12. Change Detection
13. Remote Sensing–Derived Thematic Map Accuracy Assessment
Appendix: Sources of Imagery and Other Geospatial Information
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