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Proceedings Paper

Complex synthetic aperture radar data compression
Author(s): Francis R. Cirillo; Paul L. Poehler; Debra S. Schwartz; Houra Rais
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Paper Abstract

Existing compression algorithms, primarily designed for visible electro-optical (EO) imagery, do not work well for Synthetic Aperture Radar (SAR) data. The best compression ratios achieved to date are less than 10:1 with minimal degradation to the phase data. Previously, phase data has been discarded with only magnitude data saved for analysis. Now that the importance of phase has been recognized for Interferometric Synthetic Aperture Radar (IFSAR), Coherent Change Detection (CCD), and polarimetry, requirements exist to preserve, transmit, and archive the both components. Bandwidth and storage limitations on existing and future platforms make compression of this data a top priority. This paper presents results obtained using a new compression algorithm designed specifically to compress SAR imagery, while preserving both magnitude and phase information at compression ratios of 20:1 and better.

Paper Details

Date Published: 1 August 2002
PDF: 10 pages
Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); doi: 10.1117/12.478691
Show Author Affiliations
Francis R. Cirillo, Science Applications International Corp. (United States)
Paul L. Poehler, Science Applications International Corp. (United States)
Debra S. Schwartz, Science Applications International Corp. (United States)
Houra Rais, NASA Goddard Space Flight Ctr. (United States)

Published in SPIE Proceedings Vol. 4727:
Algorithms for Synthetic Aperture Radar Imagery IX
Edmund G. Zelnio, Editor(s)

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