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Optical Engineering

Application Of Predictive Compression Methods To Synthetic Aperture Radar Imagery II
Author(s): Susan A.S. Werness
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Paper Abstract

Synthetic aperture radar (SAR) imagery can be described as consisting of bright point objects embedded in homogeneous or textured low intensity backgrounds. When predictive coding is used to compress such data, high quality reconstructions and larger compression ratios are obtained if large predictive errors are emphasized to a greater degree than in a minimum mean square error quantizer design. A large prediction error threshold quantizer is used alone and in conjunction with a small prediction error delta modulator to yield high quality reconstructions at compression ratios of 4:1 to 5:1. Smoothing of SAR data, while increasing redundancy, does not lead to better compression ratios when the predictive coding methods described in this and the companion paper in this issue are applied.

Paper Details

Date Published: 1 December 1987
PDF: 9 pages
Opt. Eng. 26(12) 261210 doi: 10.1117/12.7977157
Published in: Optical Engineering Volume 26, Issue 12
Show Author Affiliations
Susan A.S. Werness, Environmental Research Institute of Michigan (United States)

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