Schowengerdt Remote Sensing

Models and Methods for Image Processing
3. Auflage 2006
ISBN: 978-0-08-048058-9
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 560 Seiten, Web PDF

Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. This book, in its 3rd edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standards. Dr. Schowengerdt presents an advanced unified framework and rationale that uniquely empowers the reader with the latest critical thinking skills and prerequisite knowledge needed to successfully design, develop and incorporate maintainable remote sensing solutions for real-world application. Advanced remote sensing image processing techniques such as hyperspectral image analysis, fusion of multisensor images and digital elevation model extraction from stereo imagery are discussed theoretically in terms of spectral, spatial, and geometric models. An expanded exercise section is also included at the end of each chapter allowing for the greatest level of mastery ever.
*Features a new lively discussion of the NASA EOS satellites, Terra and Aqua, and the commercial satellites IKONOS and Quickbird.
*New larger format provides additional access to 32 PAGE - FULL COLOR plate insert and improved readability
*Additional data processing algorithms help connect and enhance the collective understanding of engineering design and remotely sensed data

Autoren/Hrsg.

Schowengerdt, Robert A.

Inhaltsverzeichnis

1;Cover;1
2;Title page;4
3;Copyright page;5
4;Table of contents;8
5;List of Figures;18
5.1;CHAPTER 1 The Nature of Remote Sensing;18
5.2;CHAPTER 2 Optical Radiation Models;19
5.3;CHAPTER 3 Sensor Models;20
5.4;CHAPTER 4 Data Models;22
5.5;CHAPTER 5 Spectral Transforms;24
5.6;CHAPTER 6 Spatial Transforms;25
5.7;CHAPTER 7 Correction and Calibration;27
5.8;CHAPTER 8 Image Registration and Fusion;29
5.9;CHAPTER 9 Thematic Classification;30
5.10;APPENDIX B Function Definitions;32
6;List of Tables;34
6.1;CHAPTER 1 The Nature of Remote Sensing;34
6.2;CHAPTER 3 Sensor Models;34
6.3;CHAPTER 4 Data Models;35
6.4;CHAPTER 5 Spectral Transforms;35
6.5;CHAPTER 6 Spatial Transforms;35
6.6;CHAPTER 7 Correction and Calibration;36
6.7;CHAPTER 8 Image Registration and Fusion;36
6.8;CHAPTER 9 Thematic Classification;36
6.9;APPENDIX A Sensor Acronyms;37
6.10;APPENDIX B Function Definitions;37
7;Preface to the Third Edition;38
8;Preface to the Second Edition;40
9;1 The Nature of Remote Sensing;44
9.1;1.1 Introduction;44
9.2;1.2 Remote Sensing;45
9.3;1.3 Spectral Signatures;56
9.4;1.4 Remote-Sensing Systems;59
9.5;1.5 Image Display Systems;79
9.6;1.6 Data Systems;82
9.7;1.7 Summary;85
9.8;1.8 Exercises;87
10;2 Optical Radiation Models;88
10.1;2.1 Introduction;88
10.2;2.2 Visible to Shortwave Infrared Region;89
10.3;2.3 Midwave to Thermal Infrared Region;104
10.4;2.4 Summary;115
10.5;2.5 Exercises;116
11;3 Sensor Models;118
11.1;3.1 Introduction;118
11.2;3.2 Overall Sensor Model;119
11.3;3.3 Resolution;119
11.4;3.4 Spatial Response;128
11.5;3.5 Spectral Response;147
11.6;3.6 Signal Amplification;149
11.7;3.7 Sampling and Quantization;150
11.8;3.8 Simplified Sensor Model;152
11.9;3.9 Geometric Distortion;153
11.10;3.10 Summary;168
11.11;3.11 Exercises;168
12;4 Data Models;170
12.1;4.1 Introduction;170
12.2;4.2 A Word on Notation;171
12.3;4.3 Univariate Image Statistics;171
12.4;4.4 Multivariate Image Statistics;176
12.5;4.5 Noise Models;183
12.6;4.6 Spatial Statistics;195
12.7;4.7 Topographic and Sensor Effects;212
12.8;4.8 Summary;224
12.9;4.9 Exercises;225
13;5 Spectral Transforms;226
13.1;5.1 Introduction;226
13.2;5.2 Feature Space;227
13.3;5.3 Multispectral Ratios;229
13.4;5.4 Principal Components;236
13.5;5.5 Tasseled-Cap Components;245
13.6;5.6 Contrast Enhancement;249
13.7;5.7 Summary;270
13.8;5.8 Exercises;270
14;6 Spatial Transforms;272
14.1;6.1 Introduction;272
14.2;6.2 An Image Model for Spatial Filtering;273
14.3;6.3 Convolution Filters;273
14.4;6.4 Fourier Transforms;289
14.5;6.5 Scale-Space Transforms;306
14.6;6.6 Summary;325
14.7;6.7 Exercises;325
15;7 Correction and Calibration;328
15.1;7.1 Introduction;328
15.2;7.2 Distortion Correction;329
15.3;7.3 Sensor MTF Compensation;352
15.4;7.4 Noise Reduction;358
15.5;7.5 Radiometric Calibration;375
15.6;7.6 Summary;395
15.7;7.7 Exercises;396
16;8 Image Registration and Fusion;398
16.1;8.1 Introduction;398
16.2;8.2 What Is Registration?;399
16.3;8.3 Automated GCP Location;400
16.4;8.4 Orthorectification;406
16.5;8.5 Multi-Image Fusion;414
16.6;8.6 Summary;427
16.7;8.7 Exercises;427
17;9 Thematic Classification;430
17.1;9.1 Introduction;430
17.2;9.2 The Classification Process;431
17.3;9.3 Feature Extraction;438
17.4;9.4 Training the Classifier;438
17.5;9.5 Nonparametric Classification;448
17.6;9.6 Parametric Classification;460
17.7;9.7 Spatial-Spectral Segmentation;470
17.8;9.8 Subpixel Classification;473
17.9;9.9 Hyperspectral Image Analysis;488
17.10;9.10 Summary;498
17.11;9.11 Exercises;499
18;Appendix A Sensor Acronyms;500
19;Appendix B 1-D and 2-D Functions;504
20;References;510
20.1;Color Plates;510
20.2;CHAPTER 1 The Nature of Remote Sensing;510
20.3;CHAPTER 2 Optical Radiation Models;514
20.4;CHAPTER 3 Sensor Models;515
20.5;CHAPTER 4 Data Models;520
20.6;CHAPTER 5 Spectral Transforms;523
20.7;CHAPTER 6 Spatial Transforms;525
20.8;CHAPTER 7 Correction and Calibration;527
20.9;CHAPTER 8 Image Registration and Fusion;535
20.10;CHAPTER 9 Thematic Classification;539
20.11;Appendix A Sensor Acronyms;549
20.12;Appendix B 1-D and 2-D Functions;551
21;Index;552