Landgrebe Signal Theory Methods in Multispectral Remote Sensing

1. Auflage 2005
ISBN: 978-0-471-72125-3
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 1, 528 Seiten, E-Book

Reihe: Wiley Series in Remote Sensing and Image Processing

An outgrowth of the author's extensive experience teaching seniorand graduate level students, this is both a thorough introductionand a solid professional reference.
* Material covered has been developed based on a 35-year researchprogram associated with such systems as the Landsat satelliteprogram and later satellite and aircraft programs.
* Covers existing aircraft and satellite programs and severalfuture programs
*An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.

Autoren/Hrsg.

Landgrebe, David

Inhaltsverzeichnis

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.

Über Autor(innen)

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 Society's Distinguished Achievement Award. He is the coauthor of Remote Sensing: The Quantitative Approach and a contributor to numerous other publications.