High compression of SAR imagery for battlefield surveillance

Nasser M. Nasrabadi; Joseph P. Sattler; Heesung Kwon; Syed A. Rizvi

doi:10.1117/12.242052

10 June 1996 High compression of SAR imagery for battlefield surveillance

Nasser M. Nasrabadi, Joseph P. Sattler, Heesung Kwon, Syed A. Rizvi

Proceedings Volume 2757, Algorithms for Synthetic Aperture Radar Imagery III; (1996) https://doi.org/10.1117/12.242052
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

In this paper a compression algorithm is developed to compress SAR imagery at very low bit rate. A new vector quantization (VQ) technique called the predictive residual vector quantizer (PRVQ) is presented for encoding the SAR imagery. Also a variable-rate VQ scheme called the entropy- constrained PRVQ (EC-PRVQ), which is designed by imposing a constraint on the output entropy of the PRVQ, is designed. Experimental results are presented for both PRVQ and EC-PRVQ at high compression ratios. The encoded images are also compared with that of a wavelet-based coder.

Citation Download Citation

Nasser M. Nasrabadi, Joseph P. Sattler, Heesung Kwon, and Syed A. Rizvi "High compression of SAR imagery for battlefield surveillance", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); https://doi.org/10.1117/12.242052

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