Signal Theory Methods in Multispectral Remote Sensing

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ISBN: 9780471420286
Author/Editor: David A Landgrebe

Publisher: John Wiley

Year: 2003

1 in stock (can be backordered)

SKU: ABD-JW-154 Category:

Description

An outgrowth of the author’s extensive experience teaching senior and graduate level students, this is both a thorough introduction and a solid professional reference. Material covered has been developed based on a 35-year research program associated with such systems as the Landsat satellite program and later satellite and aircraft programs. This book covers existing aircraft and satellite programs, and several future programs.

Additional information

Weight 0.926 kg

Product Properties

Year of Publication

2003

Table of Contents

Preface. PART I: INTRODUCTION. Chapter 1. Introduction and Background. PART II: THE BASICS FOR CONVENTIONAL MULTISPECTRAL DATA. Chapter 2. Radiation and Sensor Systems in Remote Sensing. Chapter 3. Pattern Recognition in Remote Sensing. PART III: ADDITIONAL DETAILS. Chapter 4. Training a Classifier. Chapter 5. Hyperspectral Data Characteristics. Chapter 6. Feature Definition. Chapter 7. A Data Analysis Paradigm and Examples. Chapter 8. Use of Spatial Variations. Chapter 9. Noise in Remote Sensing Systems. Chapter 10. Multispectral Image Data Preprocessing. Appendix. An Outline of Probability Theory. Exercises. Index.

Author

David A Landgrebe

ISBN/ISSN

9780471420286

Binding

Hardback

Edition

1

Publisher

John Wiley

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