Signal Theory Methods in Multispectral Remote Sensing
Wiley Series in Remote Sensing and Image Processing (Series Nr. 1)
1. Edition February 2003
528 Pages, Hardcover
Wiley & Sons Ltd
Short Description
Remote sensing is used in aeronautics, global positioning, tracking, environmental, and meteorlogical applications. This unique book goes beyond the traditional survey to focus on the fundamentals of the analysis of multispectral and hyperspectral image data from the point of view of signal processing engineering. It prepares both the practitioner and the student not only to analyze such data in an optimal fashion, but to be able to astutely and critically judge the value and the validity of the material which appears in the literature.
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
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.
