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1 December 1987 Application Of Predictive Compression Methods To Synthetic Aperture Radar Imagery I
Susan A.S. Werness
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Optical Engineering, Vol. 26, Issue 12, 261200 (December 1987). https://doi.org/10.1117/12.7977156
Abstract
Owing to the rapidly decaying autocorrelation function of synthetic aperture radar (SAR) imagery, predictive compression methods have not been widely used in image coding systems designed for SAR data. Because of the uncorrelated nature of SAR data, the prediction system design problem is approached in this paper from the point of view of statistics matching and decorrelation of reconstruction errors rather than minimization of the mean square error. It is demonstrated on 6 m resolution SAR magnitude data that a simple predictive coding system utilizing an unadaptive moving-average (MA) predictor and a Gaussian optimal quantizer can result in satisfactory reconstructed imagery at compression ratios of 2:1 to 4:1. Advantages of MA predictors are their lack of stability problems and their limited memory in the presence of channel errors.
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Susan A.S. Werness "Application Of Predictive Compression Methods To Synthetic Aperture Radar Imagery I," Optical Engineering 26(12), 261200 (1 December 1987). https://doi.org/10.1117/12.7977156
Published: 1 December 1987
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Cited by 4 scholarly publications.
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KEYWORDS
Synthetic aperture radar
Image compression
Error analysis
Image resolution
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