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Proceedings Paper

Raw data compression for synthetic aperture radar
Author(s): Y. Le Roy; Jean-Guy Planes; F. Cazaban
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Paper Abstract

This paper is intended to compare compression algorithms suitable for synthetic aperture radar (SAR) raw data. BAQ, BFPQ and BFPQ combined with vector quantization have been applied to simulated and actual ERS-1 raw data with output data rates of 2 and 3 bits per sample. The simulated raw data are generated from a terrain scenario (point target and uniform areas of sigma 0) scanned by a SAR simulator set to ERS-1 parameters. The measurements performed on raw data consist of histograms, signal to digital noise ratios and quadratic phase errors. The effects of compression on the resulting SAR processed images are assessed by measuring the impulse response parameters, the radiometric degradation and by displaying difference images. Eventually, the performances reached on simulated and actual data are discussed and compared.

Paper Details

Date Published: 21 November 1995
PDF: 12 pages
Proc. SPIE 2584, Synthetic Aperture Radar and Passive Microwave Sensing, (21 November 1995); doi: 10.1117/12.227162
Show Author Affiliations
Y. Le Roy, Alcatel Espace (France)
Jean-Guy Planes, Alcatel Espace (France)
F. Cazaban, Alcatel Espace (France)


Published in SPIE Proceedings Vol. 2584:
Synthetic Aperture Radar and Passive Microwave Sensing
Giorgio Franceschetti; Christopher John Oliver; James C. Shiue; Shahram Tajbakhsh, Editor(s)

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