Introductory Digital Image Processing: A Remote Sensing Perspective John R. Jensen

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 br>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.
features: 1. Now presented in full color. Contains new, specially developed detailed graphics consistent with current technology.
2. Emphasises the application of digital image processing algorithms rather than engineering "signal processing"—extracts useful Earth resource information from remotely sensed imagery.
3. Organizes content according to the general flow or method by which digital remote sensor data is actually analysed.
4. Presents all algorithms in relatively simple Algebra terms.
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.