Digital Signal Processing of Synthetic Aperture Radar Data: Algorithms and Implementation
Ian G. Cumming, Frank H. Wong, University of British Columbia, MacDonald Dettwiler and Associates StaffBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
This cutting-edge resource offers you complete "how to" guidance on digital processing of synthetic aperture radar (SAR) data. You discover how SAR is used to obtain a high-resolution image from a satellite and learn the mathematical structure and spectral properties of the signal received from a SAR system. Supported with over 500 equations and over 200 figures, the book arms you with state-of-the-art signal processing algorithms and helps you choose the best algorithm for a given SAR system and image quality requirements.
Synopsis
Writing for professionals in synthetic aperture radar (SAR), the authors describe what goes on behind the high-resolution images. They examine how SAR receives signals from satellites, processes them mathematically, and presents them as images. Their topics include signal processing fundamentals, pulse compression of linear FM signals, synthetic aperture concepts, and SAR signal properties. They cover SAR processing algorithms including the range Doppler, chirp scaling, Omega-K, and SPECAN, the ways SpanSAR processes the data, and comparisons of the algorithms. They close with material on Doppler parameter estimation and azimuth FM rate estimation. They include a helpful list of acronyms and symbols. The accompanying CD- ROM includes the raw signal data used for many of the examples in the book; this data can also be used to develop and verify SAR processing programs. Annotation ©2004 Book News, Inc., Portland, OR