UID:
almahu_9948595854502882
Format:
1 online resource (558 p.)
Edition:
3rd ed.
ISBN:
1-281-05050-4
,
9786611050504
,
0-08-048058-6
Content:
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 standa
Note:
Description based upon print version of record.
,
Front cover; Title page; Copyright page; Table of contents; List of Figures; CHAPTER 1 The Nature of Remote Sensing; CHAPTER 2 Optical Radiation Models; CHAPTER 3 Sensor Models; CHAPTER 4 Data Models; CHAPTER 5 Spectral Transforms; CHAPTER 6 Spatial Transforms; CHAPTER 7 Correction and Calibration; CHAPTER 8 Image Registration and Fusion; CHAPTER 9 Thematic Classification; APPENDIX B Function Definitions; List of Tables; CHAPTER 1 The Nature of Remote Sensing; CHAPTER 3 Sensor Models; CHAPTER 4 Data Models; CHAPTER 5 Spectral Transforms; CHAPTER 6 Spatial Transforms
,
CHAPTER 7 Correction and CalibrationCHAPTER 8 Image Registration and Fusion; CHAPTER 9 Thematic Classification; APPENDIX A Sensor Acronyms; APPENDIX B Function Definitions; Preface to the Third Edition; Preface to the Second Edition; 1 The Nature of Remote Sensing; 1.1 Introduction; 1.2 Remote Sensing; 1.3 Spectral Signatures; 1.4 Remote-Sensing Systems; 1.5 Image Display Systems; 1.6 Data Systems; 1.7 Summary; 1.8 Exercises; 2 Optical Radiation Models; 2.1 Introduction; 2.2 Visible to Shortwave Infrared Region; 2.3 Midwave to Thermal Infrared Region; 2.4 Summary; 2.5 Exercises
,
3 Sensor Models3.1 Introduction; 3.2 Overall Sensor Model; 3.3 Resolution; 3.4 Spatial Response; 3.5 Spectral Response; 3.6 Signal Amplification; 3.7 Sampling and Quantization; 3.8 Simplified Sensor Model; 3.9 Geometric Distortion; 3.10 Summary; 3.11 Exercises; 4 Data Models; 4.1 Introduction; 4.2 A Word on Notation; 4.3 Univariate Image Statistics; 4.4 Multivariate Image Statistics; 4.5 Noise Models; 4.6 Spatial Statistics; 4.7 Topographic and Sensor Effects; 4.8 Summary; 4.9 Exercises; 5 Spectral Transforms; 5.1 Introduction; 5.2 Feature Space; 5.3 Multispectral Ratios
,
5.4 Principal Components5.5 Tasseled-Cap Components; 5.6 Contrast Enhancement; 5.7 Summary; 5.8 Exercises; 6 Spatial Transforms; 6.1 Introduction; 6.2 An Image Model for Spatial Filtering; 6.3 Convolution Filters; 6.4 Fourier Transforms; 6.5 Scale-Space Transforms; 6.6 Summary; 6.7 Exercises; 7 Correction and Calibration; 7.1 Introduction; 7.2 Distortion Correction; 7.3 Sensor MTF Compensation; 7.4 Noise Reduction; 7.5 Radiometric Calibration; 7.6 Summary; 7.7 Exercises; 8 Image Registration and Fusion; 8.1 Introduction; 8.2 What Is Registration?; 8.3 Automated GCP Location
,
8.4 Orthorectification8.5 Multi-Image Fusion; 8.6 Summary; 8.7 Exercises; 9 Thematic Classification; 9.1 Introduction; 9.2 The Classification Process; 9.3 Feature Extraction; 9.4 Training the Classifier; 9.5 Nonparametric Classification; 9.6 Parametric Classification; 9.7 Spatial-Spectral Segmentation; 9.8 Subpixel Classification; 9.9 Hyperspectral Image Analysis; 9.10 Summary; 9.11 Exercises; Appendix A Sensor Acronyms; Appendix B 1-D and 2-D Functions; References; Color Plates; CHAPTER 1 The Nature of Remote Sensing; CHAPTER 2 Optical Radiation Models; CHAPTER 3 Sensor Models
,
CHAPTER 4 Data Models
,
English
Additional Edition:
ISBN 1-4933-0072-5
Additional Edition:
ISBN 0-12-369407-8
Language:
English
Bookmarklink
