Del 24 i serien Wiley Series in Remote Sensing and Image Processing

Signal Theory Methods in Multispectral Remote Sensing

Inbunden, Engelska, 2003

3 519 kr

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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.* Covers existing aircraft and satellite programs and several future programs *An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Produktinformation

Utgivningsdatum2003-02-14
Mått165 x 241 x 33 mm
Vikt953 g
FormatInbunden
SpråkEngelska
SerieWiley Series in Remote Sensing and Image Processing
Antal sidor536
FörlagJohn Wiley & Sons Inc
ISBN9780471420286

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DAVID A. LANDGREBE, PhD, is Professor Emeritus of Electrical Computer Engineering in the School of Electrical and Computer Engineering at Purdue University. Dr. Landgrebe is a former president of the IEEE Geoscience and Remote Sensing Society and recipient of the Societys Distinguished Achievement Award. He is the coauthor of Remote Sensing: The Quantitative Approach and a contributor to numerous other publications.

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.