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Proceedings Paper

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

Several variations of a prediction compression system have been demonstrated with 6 meter resolution synthetic aperture radar (SAR) imagery. Due to the uncorrelated nature of SAR imagery, the prediction system design problem was approached from the point of view of statistics matching and decorrelation of reconstruction errors, rather than minimization of mean square error. It is shown that a moving average (MA) predictor can work well, depending upon the quantizer ,used and upon the homogeneity of the data. Due to the occurrence of large data values evolving from returns from cultural objects, slope overload can be a severe problem in system design. This problem is most economically solved by a thresholding type of operation in the quantizer, resulting in a dual rate system. Good results are obtainable at rates of 1.5 bits/pixel.

Paper Details

Date Published: 1 May 1986
PDF: 12 pages
Proc. SPIE 0594, Image Coding, (1 May 1986); doi: 10.1117/12.952231
Show Author Affiliations
Susan A. S. Werness, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 0594:
Image Coding
Thomas S. Huang; Murat Kunt, Editor(s)

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