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
Author(s): Robert A. Schowengerdt
Edition: 3
Year: 2006
Language: English
Pages: 560
Front cover......Page 1
Title page......Page 4
Copyright page......Page 5
Table of contents......Page 8
CHAPTER 1 The Nature of Remote Sensing......Page 18
CHAPTER 2 Optical Radiation Models......Page 19
CHAPTER 3 Sensor Models......Page 20
CHAPTER 4 Data Models......Page 22
CHAPTER 5 Spectral Transforms......Page 24
CHAPTER 6 Spatial Transforms......Page 25
CHAPTER 7 Correction and Calibration......Page 27
CHAPTER 8 Image Registration and Fusion......Page 29
CHAPTER 9 Thematic Classification......Page 30
APPENDIX B Function Definitions......Page 32
CHAPTER 3 Sensor Models......Page 34
CHAPTER 6 Spatial Transforms......Page 35
CHAPTER 9 Thematic Classification......Page 36
APPENDIX B Function Definitions......Page 37
Preface to the Third Edition......Page 38
Preface to the Second Edition......Page 40
1.1 Introduction......Page 44
1.2 Remote Sensing......Page 45
1.3 Spectral Signatures......Page 56
1.4 Remote-Sensing Systems......Page 59
1.5 Image Display Systems......Page 79
1.6 Data Systems......Page 82
1.7 Summary......Page 85
1.8 Exercises......Page 87
2.1 Introduction......Page 88
2.2 Visible to Shortwave Infrared Region......Page 89
2.3 Midwave to Thermal Infrared Region......Page 104
2.4 Summary......Page 115
2.5 Exercises......Page 116
3.1 Introduction......Page 118
3.3 Resolution......Page 119
3.4 Spatial Response......Page 128
3.5 Spectral Response......Page 147
3.6 Signal Amplification......Page 149
3.7 Sampling and Quantization......Page 150
3.8 Simplified Sensor Model......Page 152
3.9 Geometric Distortion......Page 153
3.11 Exercises......Page 168
4.1 Introduction......Page 170
4.3 Univariate Image Statistics......Page 171
4.4 Multivariate Image Statistics......Page 176
4.5 Noise Models......Page 183
4.6 Spatial Statistics......Page 195
4.7 Topographic and Sensor Effects......Page 212
4.8 Summary......Page 224
4.9 Exercises......Page 225
5.1 Introduction......Page 226
5.2 Feature Space......Page 227
5.3 Multispectral Ratios......Page 229
5.4 Principal Components......Page 236
5.5 Tasseled-Cap Components......Page 245
5.6 Contrast Enhancement......Page 249
5.8 Exercises......Page 270
6.1 Introduction......Page 272
6.3 Convolution Filters......Page 273
6.4 Fourier Transforms......Page 289
6.5 Scale-Space Transforms......Page 306
6.7 Exercises......Page 325
7.1 Introduction......Page 328
7.2 Distortion Correction......Page 329
7.3 Sensor MTF Compensation......Page 352
7.4 Noise Reduction......Page 358
7.5 Radiometric Calibration......Page 375
7.6 Summary......Page 395
7.7 Exercises......Page 396
8.1 Introduction......Page 398
8.2 What Is Registration?......Page 399
8.3 Automated GCP Location......Page 400
8.4 Orthorectification......Page 406
8.5 Multi-Image Fusion......Page 414
8.7 Exercises......Page 427
9.1 Introduction......Page 430
9.2 The Classification Process......Page 431
9.4 Training the Classifier......Page 438
9.5 Nonparametric Classification......Page 448
9.6 Parametric Classification......Page 460
9.7 Spatial-Spectral Segmentation......Page 470
9.8 Subpixel Classification......Page 473
9.9 Hyperspectral Image Analysis......Page 488
9.10 Summary......Page 498
9.11 Exercises......Page 499
Appendix A Sensor Acronyms......Page 500
Appendix B 1-D and 2-D Functions......Page 504
CHAPTER 1 The Nature of Remote Sensing......Page 510
CHAPTER 2 Optical Radiation Models......Page 514
CHAPTER 3 Sensor Models......Page 515
CHAPTER 4 Data Models......Page 520
CHAPTER 5 Spectral Transforms......Page 523
CHAPTER 6 Spatial Transforms......Page 525
CHAPTER 7 Correction and Calibration......Page 527
CHAPTER 8 Image Registration and Fusion......Page 535
CHAPTER 9 Thematic Classification......Page 539
Appendix A Sensor Acronyms......Page 549
Appendix B 1-D and 2-D Functions......Page 551
Index......Page 552
