Remote Sensing: Models and Methods for Image Processing, 2nd Edition eBook

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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.

This is a digital product.

Remote Sensing: Models and Methods for Image Processing 2nd Edition is written by Schowengerdt, Robert A. and published by Academic Press. The Digital and eTextbook ISBNs for Remote Sensing: Models and Methods for Image Processing are 9780126289817, 9780080516103, 0080516106 and the print ISBNs are 9780126289817, 0126289816.