Performance Evaluation of Two Compression Methods for SAR Raw Data
Qiu Xiao-lan①② Lei Bin①② Ge Yun-ping①② Hu Dong-hui①② Ding Chi-biao②
①(Key Laboratory of Technology on Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China) ②(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
Abstract：Raw data compression is an important step for high resolution SAR systems. This paper bases on two data compression methods, the 4 bit quantization and the 8 to 3 bit Block Adaptive Quantization (BAQ), which are widely used in spaceborne SAR, the evaluations are made on the Signal-to-Noise Ratio (SNR), the fidelity of the amplitude, and the vision effects of the images under different quantization input power. From the evaluations, the reasonable power regions of the quantization input for 4 bit and 8:3 bit BAQ are provided, which are 26.1 dB~34.9 dB and 23.5 dB~36.5 dB, respectively. This offers a good reference to the Manual Gain Control (MGC) value for the SAR mission.
仇晓兰, 雷斌, 葛蕴萍, 胡东辉, 丁赤飚. SAR原始数据两种量化压缩方式的性能评估[J]. 电子与信息学报, 2010, 32(9): 2268-2272.
Chou Xiao-Lan, Lei Bin, Ge Yun-Ping, Hu Dong-Hui, Ding Chi-Biao. Performance Evaluation of Two Compression Methods for SAR Raw Data. , 2010, 32(9): 2268-2272.
2010, Vol. 32 
