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Synopsis
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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From the Back Cover
Remote sensing, the use of electromagnetic sensors to monitor the earth's surface and atmosphere, is an innovative field of science that has a variety of applications, from the production of topographic of geologic maps, to the detection of developing hurricanes or floods.
Following the standard set by the previous volume, the Second Edition of REMOTE SENSING: Models and Methods for Image Processing has been completely updated with recent results and data about this developing technology. In particular, this Second Edition discusses a framework for designing and evaluating image processing technology, which is the backbone of remote sensing.
The material is suited for graduate level engineering, physical and natural science courses, or for practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figures were produced specifically for this book and numerous tables provide a rich bibliography of the research literature.
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Remote Sensing, Second Edition: Models and Methods for Image Processing
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Remote Sensing: Models and Methods for Image Processing
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ISBN 10: 0126289816
ISBN 13: 9780126289817
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Hardback. Condition: Fair. 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. Seller Inventory # CIN0126289816A
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Remote Sensing : Models and Methods for Image Processing
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ISBN 10: 0126289816
ISBN 13: 9780126289817
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