Abstract

This paper gives a comparison of different SAR (Synthetic Aperture Radar) raw data reduction algorithms as applied to E-SAR data (Experimental airborne SAR) and spaceborne ERS1 data. The Block Adaptive Quantizer (BAQ) and a Fuzzy Block Adaptive Quantizer (FBAQ) were selected and analyzed. In addition, different algorithms based on a BAQ, the Fast Fourier Block Adaptive Quantizer (FFT-BAQ) and the Block Adaptive Vector Quantizer (BAVQ) were examined. Signal-to-distortion noise ratios (SDNR) of 11.69 dB (BAQ), 8.00 dB (FBAQ) and 11.94 dB (BAVQ) for E-SAR data and 8.77 dB (BAQ), 5.17 dB (FFT-BAQ) and 9.56 dB (BAVQ) for ERS1 data for a data resolution of 2 bits/sample were achieved with a reduction factor of about 3 for the E-SAR data and 2.5 for ERS1 data.

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