Signal Theory Methods in Multispectral Remote Sensing / Wiley Series in Remote Sensing and Image Processing Bd.1 (PDF)
(Sprache: Englisch)
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...
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...
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Produktinformationen zu „Signal Theory Methods in Multispectral Remote Sensing / Wiley Series in Remote Sensing and Image Processing Bd.1 (PDF)“
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.
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.
Inhaltsverzeichnis zu „Signal Theory Methods in Multispectral Remote Sensing / Wiley Series in Remote Sensing and Image Processing Bd.1 (PDF)“
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.
Autoren-Porträt von David Landgrebe
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.
Bibliographische Angaben
- Autor: David Landgrebe
- 2005, 1. Auflage, 528 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0471721255
- ISBN-13: 9780471721253
- Erscheinungsdatum: 20.01.2005
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