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21 December 1994 Comparison of several algorithms for on-board SAR raw data reduction
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Klaus Strodl, Ursula C. Benz, and Alberto Moreira "Comparison of several algorithms for on-board SAR raw data reduction", Proc. SPIE 2316, SAR Data Processing for Remote Sensing, (21 December 1994); https://doi.org/10.1117/12.197554
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