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Processing of SAR Data: Fundamentals, Signal Processing, Interferometry Paperback - 2010
by Achim Hein
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- Paperback
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Details
- Title Processing of SAR Data: Fundamentals, Signal Processing, Interferometry
- Author Achim Hein
- Binding Paperback
- Edition Softcover reprin
- Condition New
- Pages 291
- Volumes 1
- Language ENG
- Publisher Springer Berlin Heidelberg
- Publication date 2010
- Bookseller's Inventory # 1-3642057101
- ISBN 9783642057106 / 3642057101
- Weight 1.16 lbs (0.53 kg)
- Dimensions 9.25 x 6.1 x 0.7 in (23.50 x 15.49 x 1.78 cm)
- Category Technology & Industrial Arts
- Dewey Decimal Code 621.384
- Quantity available 1
About Revaluation Books Devon, United Kingdom
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General bookseller of both fiction and non-fiction.
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From the publisher
From the rear cover
Written for students, remote sensing specialists, researchers and SAR system designers, this practical new reference shows you how to produce quality SAR images with respect to interferometrical applications using different algorithms. Processing of SAR Data shows how SAR imagery is formed, how interferometry SAR images are created, and gives you a detailed mathematical description of different focussing algorithms with special emphasis in interferomtery. The book describes in a comprehensive manner new methods and algorithms for interferometric processing of SAR data. It provides a general description with strong emphasis on system and signal theory. In this context a study is presented which derives a new, nonlinear, two-dimensional, space-variant SAR processing algorithm. A comparison is presented of different SAR focussing algorithms by making use of a uniform starting point, the two-dimensional point target spectrum. With regard to subpixel accuracy, a method is introduced for the co-registration process. Based on the geometrical effects of the side looking geometry, computationally efficient algorithms are developed to correct foreshortening, shadowing and layover. Based on a method of automatically generating reference heights, the outfinal SAR data product is geocoded.
