SAR原始数据两种量化压缩方式的性能评估

仇晓兰; 雷斌; 葛蕴萍; 胡东辉; 丁赤飚

doi:10.3724/SP.J.1146.2009.01101

SAR原始数据两种量化压缩方式的性能评估

doi: 10.3724/SP.J.1146.2009.01101

仇晓兰^{①② 雷斌,},
雷斌,
葛蕴萍,
胡东辉,
丁赤飚

基金项目:

国家863计划项目(2009AA7010113)资助课题

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出版历程
- 收稿日期: 2009-08-17
- 修回日期: 2009-12-21
- 刊出日期: 2010-09-19

Performance Evaluation of Two Compression Methods for SAR Raw Data

摘要

摘要: 原始数据压缩是高分辨率SAR需要着重考虑的环节。该文针对目前星载SAR比较常用的4 bit量化和8:3 bit BAQ两种量化压缩方式，在不同输入功率下对量化信噪比、功率保真能力和目视图像效果这几个方面进行了深入的分析和评估。分析得出，综合各项性能后4 bit和8:3 bit BAQ的最佳输入功率范围分别为26.1 dB~34.9 dB和23.5 dB~36.5 dB，这为星载SAR实际运行中MGC值的设置提供了依据。
- SAR /
- 数据压缩 /
- 分块自适应量化 /
- 信噪比
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.
- SAR /
- Data compression /
- BAQ (Block Adaptive Quantization) /
- SNR

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