1 May 1986 Application Of Predictive Compression Methods To Synthetic Aperture Radar (SAR) Imagery
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Proceedings Volume 0594, Image Coding; (1986); doi: 10.1117/12.952231
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France
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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Susan A. S. Werness, "Application Of Predictive Compression Methods To Synthetic Aperture Radar (SAR) Imagery", Proc. SPIE 0594, Image Coding, (1 May 1986); doi: 10.1117/12.952231; https://doi.org/10.1117/12.952231
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KEYWORDS
Autoregressive models

Synthetic aperture radar

Error analysis

Image compression

Image processing

Quantization

Reflectivity

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