Introductory Digital Image Processing: A Remote Sensing Perspective, 4th edition

Published by Pearson (April 21, 2015) © 2016

  • John R. Jensen Brigham Young University
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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.


Now in full colour, the 4th Edition provides up-to-date information on analytical methods used to analyse 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.

  • 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
  • Index

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