Features
- Cover Type: Hard Cover with 316 pages
- Published by: Prentice Hall
- Edition: 2nd Edition August 25, 1995
- Written in: English
- ISBN 10 Number: 0132058405
- ISBN 13 Number: 978-0132058407
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Book Dimensions:
10.9 x 8.4 x 0.8 inches
- Weighs: 2.3 pounds
Book Description
Explains how to apply digital image processing techniques to remotely sensed imagery, and how to obtain useful results and information during this process. It assumes a course in introductory remote sensing or air photo interpretation, college algebra, and basic statistics.
The publisher, Prentice-Hall Engineering/Science/Mathematics
This text focuses exclusively on the art and science of digital image processing of satellite and aircraft-derived remotely-sensed data for resource management. 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.
Reader Reviews
This review is from: Introductory Digital Image Processing, Third Edition (Prentice Hall Series in Geographic Information Science) (Hardcover)
This updated edition of the digital image processing text geared towards satellite-derived remotely sensed data has some good content, but like previous editions it is much too expensive for what you ultimately receive. For general digital image processing and its algorithms I really think that "Digital Image Processing" by Gonzalez and Woods provides much more quality for a lower price. Granted, this book has some GIS specific information in it that other books don't have, but I don't think that this warrants the huge price tag. The presentation is not particularly compelling either. Quite a bit of room is taken up with large tables and sample imagery rather than instruction and algorithm details. I would really suggest that someone interested in the specific problems of processing satellite imagery look at some of the online resources for the pre-processing issues unique to this field, and then look at the Gonzalez and Woods book for a much better explanation of digital image processing in general, including the pattern recognition issues of the later chapters of this book that I think are particularly poorly explained. The table of contents is as follows: 1. Remote Sensing and Digital Image Processing 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 Correction 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
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