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Proceedings Paper

Vector Quantization Used To Reduce SAR Data Rates
Author(s): T. Gioutsos
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Paper Abstract

There has been much work ih Vibe area of data compression since the fundamental source coding theories were defined by Shannon. ' Most of the work has been done on speech with a growing percent on optical imagery. Only recently has work on Synthetic Aperture Radar (SAR) data compression begun to mature. With the high data rate of a typical SAR system, methods for compression have become important. In this paper, we focus on the source coding technique of Vector Quantization (VQ) for use in a SAR imaging environment. Several types of vector quantizers are presented and discussed. It is shown that VQs can achieve a minimum of 2:1 compression on SAR phase history data without any loss of quality.

Paper Details

Date Published: 14 August 1989
PDF: 13 pages
Proc. SPIE 1101, Millimeter Wave and Synthetic Aperture Radar, (14 August 1989); doi: 10.1117/12.960518
Show Author Affiliations
T. Gioutsos, Environmental Research Institute of Michigan (United States)

Published in SPIE Proceedings Vol. 1101:
Millimeter Wave and Synthetic Aperture Radar
G. Keith Huddleston; Martin E. Tanenhaus; Brian P. Williams, Editor(s)

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