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