Remote Sensing (eBook)

Cover 1
Title page 4
Copyright page 5
Table of contents 8
List of Figures 18
CHAPTER 1 The Nature of Remote Sensing 18
CHAPTER 2 Optical Radiation Models 19
CHAPTER 3 Sensor Models 20
CHAPTER 4 Data Models 22
CHAPTER 5 Spectral Transforms 24
CHAPTER 6 Spatial Transforms 25
CHAPTER 7 Correction and Calibration 27
CHAPTER 8 Image Registration and Fusion 29
CHAPTER 9 Thematic Classification 30
APPENDIX B Function Definitions 32
List of Tables 34
CHAPTER 1 The Nature of Remote Sensing 34
CHAPTER 3 Sensor Models 34
CHAPTER 4 Data Models 35
CHAPTER 5 Spectral Transforms 35
CHAPTER 6 Spatial Transforms 35
CHAPTER 7 Correction and Calibration 36
CHAPTER 8 Image Registration and Fusion 36
CHAPTER 9 Thematic Classification 36
APPENDIX A Sensor Acronyms 37
APPENDIX B Function Definitions 37
Preface to the Third Edition 38
Preface to the Second Edition 40
1 The Nature of Remote Sensing 44
1.1 Introduction 44
1.2 Remote Sensing 45
1.3 Spectral Signatures 56
1.4 Remote-Sensing Systems 59
1.5 Image Display Systems 79
1.6 Data Systems 82
1.7 Summary 85
1.8 Exercises 87
2 Optical Radiation Models 88
2.1 Introduction 88
2.2 Visible to Shortwave Infrared Region 89
2.3 Midwave to Thermal Infrared Region 104
2.4 Summary 115
2.5 Exercises 116
3 Sensor Models 118
3.1 Introduction 118
3.2 Overall Sensor Model 119
3.3 Resolution 119
3.4 Spatial Response 128
3.5 Spectral Response 147
3.6 Signal Amplification 149
3.7 Sampling and Quantization 150
3.8 Simplified Sensor Model 152
3.9 Geometric Distortion 153
3.10 Summary 168
3.11 Exercises 168
4 Data Models 170
4.1 Introduction 170
4.2 A Word on Notation 171
4.3 Univariate Image Statistics 171
4.4 Multivariate Image Statistics 176
4.5 Noise Models 183
4.6 Spatial Statistics 195
4.7 Topographic and Sensor Effects 212
4.8 Summary 224
4.9 Exercises 225
5 Spectral Transforms 226
5.1 Introduction 226
5.2 Feature Space 227
5.3 Multispectral Ratios 229
5.4 Principal Components 236
5.5 Tasseled-Cap Components 245
5.6 Contrast Enhancement 249
5.7 Summary 270
5.8 Exercises 270
6 Spatial Transforms 272
6.1 Introduction 272
6.2 An Image Model for Spatial Filtering 273
6.3 Convolution Filters 273
6.4 Fourier Transforms 289
6.5 Scale-Space Transforms 306
6.6 Summary 325
6.7 Exercises 325
7 Correction and Calibration 328
7.1 Introduction 328
7.2 Distortion Correction 329
7.3 Sensor MTF Compensation 352
7.4 Noise Reduction 358
7.5 Radiometric Calibration 375
7.6 Summary 395
7.7 Exercises 396
8 Image Registration and Fusion 398
8.1 Introduction 398
8.2 What Is Registration? 399
8.3 Automated GCP Location 400
8.4 Orthorectification 406
8.5 Multi-Image Fusion 414
8.6 Summary 427
8.7 Exercises 427
9 Thematic Classification 430
9.1 Introduction 430
9.2 The Classification Process 431
9.3 Feature Extraction 438
9.4 Training the Classifier 438
9.5 Nonparametric Classification 448
9.6 Parametric Classification 460
9.7 Spatial-Spectral Segmentation 470
9.8 Subpixel Classification 473
9.9 Hyperspectral Image Analysis 488
9.10 Summary 498
9.11 Exercises 499
Appendix A Sensor Acronyms 500
Appendix B 1-D and 2-D Functions 504
References 510
Color Plates 510
CHAPTER 1 The Nature of Remote Sensing 510
CHAPTER 2 Optical Radiation Models 514
CHAPTER 3 Sensor Models 515
CHAPTER 4 Data Models 520
CHAPTER 5 Spectral Transforms 523
CHAPTER 6 Spatial Transforms 525
CHAPTER 7 Correction and Calibration 527
CHAPTER 8 Image Registration and Fusion 535
CHAPTER 9 Thematic Classification 539
Appendix A Sensor Acronyms 549
Appendix B 1-D and 2-D Functions 551
Index 552