Raw data compression for synthetic aperture radar

Y. Le Roy; Jean-Guy Planes; F. Cazaban

doi:10.1117/12.227162

21 November 1995 Raw data compression for synthetic aperture radar

Y. Le Roy, Jean-Guy Planes, F. Cazaban

Proceedings Volume 2584, Synthetic Aperture Radar and Passive Microwave Sensing; (1995) https://doi.org/10.1117/12.227162
Event: Satellite Remote Sensing II, 1995, Paris, France

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.

Citation Download Citation

Y. Le Roy, Jean-Guy Planes, and F. Cazaban "Raw data compression for synthetic aperture radar", Proc. SPIE 2584, Synthetic Aperture Radar and Passive Microwave Sensing, (21 November 1995); https://doi.org/10.1117/12.227162

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