%0 Journal Article
%T An Algorithm for SAR Raw Data Compression after Range Focusing<br>一种距离聚焦后的SAR原始数据压缩算法
%A Zeng Shang-chun Zhu Zhao-da
%A <br>曾尚春
%A 朱兆达
%J 电子与信息学报
%D 2008
%I 
%X It is difficult to directly compress Synthetic Aperture Radar (SAR) raw data for its low relativity. In this paper, a new algorithm is put forward. Range focusing is imposed to SAR raw data, which makes it have comparative high relativity, then a vector linear prediction is performed along the azimuth direction, and block adaptive quantization is used to the prediction error series. By using a real SAR raw data, compression and decompression are made respectively. The SQNR and SDNR are achieved. The images correspond to the three algorithms are gained. The experiments manifest that with same bit rate, SQNR and SDNR after using the algorithm proposed in this paper surpass that of BAQ. The calculation in this paper is far less than that of compression method after range focusing advised in corresponding reference.
%K Synthetic Aperture Radar (SAR)
%K Range focusing
%K Vector linear prediction
%K Signal to Noise Ratio (SNR)
%K Block Adaptive Quantization (BAQ)
%K Bit rate<br>合成孔径雷达
%K 距离聚焦
%K 矢量线性预测
%K 信噪比
%K 块自适应量化
%K 比特率
%K 距离
%K 聚焦处理
%K 数据域
%K 压缩算法
%K Focusing
%K Range
%K Data
%K Compression
%K 压缩方法
%K 文献
%K 计算量
%K 条件
%K 比特率
%K 实验
%K 图像域
%K 信噪比
%K 解压缩
%K 结合
%K 分块自适应量化
%K 残差序列
%K 线性预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=1F89E0846B32D9C4B49C50AB4FE11277&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=E158A972A605785F&sid=9BA5B7BDD4CE0596&eid=9C6D270E246D943F&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11