Remote Sensing, Models, and Methods for Image Processing

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Academic Press, 1997 - Technology & Engineering - 522 pages
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This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms.
Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery.
The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.
 

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Excellent text written from an engineer's perspective. I would be hesitant to use the text in an introductory class but as a graduate text it would be fantastic. I appreciate Dr. Schowengerdt’s layout of the material. It focuses on the data and provides an excellent foundation of remote sensing to those with a prior understanding in physics and upper-level mathematics. For me it acted as a “link” between the traditional texts used in remote sensing [“Remote Sensing for GIS Managers” by Aronoff (2007), “Remote Sensing and Image Interpretation” by Lillesand, et al. (2007), and “Remote Sensing of the Environment: An Earth Resource Perspective” by Jensen (2006)] and research-level application, especially with respect to programming and use of remote sensing software. 

Contents

Image Gallery
xii
Image Gallery xv
xvii
Tables
xxxix
The Nature of Remote Sensing 1
1
Optical Radiation Models
35
Plate
48
Sensor Models
67
Data Models
111
Spectral Transforms 779
179
Spatial Transforms
229
Correction and Calibration
287
Image Registration and Fusion
357
Thematic Classification
389
References
483
Index 577
517
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