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A Data Compression Technique for Synthetic Aperture Radar Images
Authors:Frost  VS Minden  GJ
Institution:University of Kansas Telecommunications & Information Sciences Laboratory;
Abstract:A data compression technique is developed for synthetic aperture radar (SAR) imagery. The technique is based on an SAR image model and is designed to preserve the local statistics in the image by an adaptive variable rate modification of block truncation coding (BTC). A data rate of approximately 1.6 bit/pixel is achieved with the technique while maintaining the image quality and cultural (pointlike) targets. The algorithm requires no large data storage and is computationally simple.
Keywords:
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