Vector Quantization Used To Reduce SAR Data Rates

T. Gioutsos

doi:10.1117/12.960518

14 August 1989 Vector Quantization Used To Reduce SAR Data Rates

T. Gioutsos

Proceedings Volume 1101, Millimeter Wave and Synthetic Aperture Radar; (1989) https://doi.org/10.1117/12.960518
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

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.

Citation Download Citation

T. Gioutsos "Vector Quantization Used To Reduce SAR Data Rates", Proc. SPIE 1101, Millimeter Wave and Synthetic Aperture Radar, (14 August 1989); https://doi.org/10.1117/12.960518

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