Signal Theory Methods in Multispectral Remote SensingISBN: 978-0-471-42028-6
Hardcover
528 pages
January 2003
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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.
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