Digital Processing of Synthetic Aperture Radar Data Algorithm and Implementation

This cutting-edge resource offers complete how-to guidance on digital processing of synthetic aperture radar (SAR) data. Professionals discover how SAR is used to obtain a high-resolution image from satellites such as RADARSAT and ENVISAT and learn the mathematical structure and spectral properties of the signal received from a SAR system. Supported with 600 equations and 250 figures, the book arms practitioners with state-of-the-art signal processing algorithms and helps them choose the best algorithm for a given SAR system and image quality requirements.

This hands-on reference explains how to process received SAR data into a well-focused image on a digital computer, using the popular range Doppler, chirp scaling, omega-K, and SPECAN algorithms. In addition, the book summarizes how to process ScanSAR data using the full-aperture, SPECAN, modified SPECAN, short IFFT, and extended chirp scaling algorithms. Readers also learn how to estimate the Doppler centroid frequency and azimuth FM rate from a geometry model or from received data. Written from a digital signal processing point of view, this authoritative volume can be fully understood by professionals with a general electrical engineering background.