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Techniques for Image Processing and Classifications in Remote Sensing
- 1st Edition - December 2, 2012
- Author: Robert A. Schowengerdt
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 3 9 5 9 7 7 - 5
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 1 3 8 5 5 - 0
Techniques for Image Processing and Classifications in Remote Sensing provides an introduction to the fundamentals of computer image processing and classification (commonly called… Read more
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Request a sales quoteTechniques for Image Processing and Classifications in Remote Sensing provides an introduction to the fundamentals of computer image processing and classification (commonly called ""pattern recognition"" in other applications). The book begins with a discussion of digital scanners and imagery, and two key mathematical concepts for image processing and classification—spatial filtering and statistical pattern recognition. This is followed by separate chapters on image processing and classification techniques that are widely used in the remote sensing community. The emphasis throughout is on techniques that assist in the analysis of images, not particular applications of these techniques. The book also has four appendixes, featuring a bibliography; an introduction to computer binary data representation and image data formats; a discussion of interactive image processing; and a selection of exam questions from the Image Processing Laboratory course at the University of Arizona. This book is intended for use as either a primary source in an introductory image processing course or as a supplementary text in an intermediate-level remote sensing course. The academic level addressed is upper-division undergraduate or beginning graduate, and familiarity with calculus and basic vector and matrix concepts is assumed.
List of Illustrations PrefaceChapter 1. Fundamentals 1.1. Introduction 1.2. The Characteristics of Digital Images 1.3. The Distinction between Image Processing and Classification 1.4. Mathematical Concepts for Image Processing 1.5. Mathematical Concepts for Image Classification References Chapter 2. Digital Image Processing 2.1. Introduction 2.2. Contrast Manipulation 2.3. Spatial Filtering 2.4. Noise Suppression 2.5. Spatial Registration 2.6. Geometrical Manipulation 2.7. Color Processing ReferencesChapter 3. Digital Image Classification 3.1. Introduction 3.2. Multispectral Classification 3.3. Classification Training 3.4. Pre-Classification Processing and Feature Extraction 3.5. Classification Algorithms 3.6. Post-Classification Processing and Analysis 3.7. Non-Image Features ReferencesAppendix A. Remote Sensing and Image Processing Bibliography A.1. Books A.2. Topical Papers A.3. Literature Surveys A.4. Special Journal Issues Appendix B. Digital Image Data Formats B.1. Bits and Pixels B.2. Records and Files B.3. Tapes and Disks Appendix C. The Table Look-up Algorithm and Interactive Image Processing C.1. The Table Look-up Algorithm C.2. Interactive Processing Appendix D. Examination Questions D.1. Gray Levels, Histograms and Contrast Manipulation D.2. Spatial Filtering, Fourier Transforms and Noise Suppression D.3. Geometric Processing D.4. Multi Feature Analysis D.5. Classification D.6. Processing ConsiderationsIndex
- No. of pages: 249
- Language: English
- Edition: 1
- Published: December 2, 2012
- Imprint: Academic Press
- Paperback ISBN: 9780123959775
- eBook ISBN: 9780323138550
RS
Robert A. Schowengerdt
Affiliations and expertise
University of Arizona, Dept. of Electrical and Computer EngineeringRead Techniques for Image Processing and Classifications in Remote Sensing on ScienceDirect