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
Reviews
There are no reviews yet.
Be the first to review “Signal Theory Methods in Multispectral Remote Sensing” Cancel reply
Reviews
There are no reviews yet.