Block adaptive predictive quantization for SAR raw data compression
Daiyin Zhu · Systems engineering and electronics · 2006
The block adaptive predictive quantization(BAPQ) algorithm for SAR raw data compression is proposed.The performances of the BAPQ with uniform quantizer,Lloyd-Max quantizer and threshold quantizer are evaluated,respectively.The result is exploited that many prediction error signals are close to zero and few of them have large amplitude.The employment of the threshold quantizer optimized for Gaussian statistics and the BAPQ using threshold quantizer can obtain a higher performance.With the analyses of algorithm's complexity,the proposed BAPQ algorithm shows a good performance/complexity trade-off,and is particularly(well-suited) to SAR raw data compression.