Performance evaluation of two compression methods for SAR raw data

被引：2
|
作者：
Qiu X.-L. [1 ,2 ]
Lei B. [1 ,2 ]
Ge Y.-P. [1 ,2 ]
Hu D.-H. [1 ,2 ]
Ding C.-B. [2 ]
机构：
[1] Key Laboratory of Technology on Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences
[2] Institute of Electronics, Chinese Academy of Sciences
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 09期
基金：
欧盟地平线“2020”;
关键词：
BAQ (block adaptive quantization); Data compression; SAR; SNR;
D O I：
10.3724/SP.J.1146.2009.01101
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：2268 / 2272
页数：4
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