%0 Journal Article
%T A Compression Algorithm for SAR Raw Data Based on the Combination of Discrete Cosine Transform and Block-Adaptive Quantization<br>基于DCT的分块自适应量化算法及其用于SAR原始数据压缩
%A Pan Zhi-gang
%A Wang Yan-fei
%A <br>潘志刚
%A 王岩飞
%J 电子与信息学报
%D 2007
%I 
%X In this paper, an algorithm for compressing synthetic aperture radar raw data is proposed. This algorithm is based on the combination of discrete cosine transform and block-adaptive quantization. The known results that a block normalized SAR raw signal is a Gaussian stationary process are exploited in order to re-array the DCT coefficients. Coupled with a proper bit allocation strategy and block-adaptive quantization on re-arrayed coefficients matrix, this algorithm exhibits notably an interesting performance/complexity trade-off with respect to conventional methods such as BAQ. Simulation results on real-world SAR raw data also show that the proposed algorithm outperforms methods based on wavelets as to SNR and PSNR.
%K SAR raw data compression
%K DCT
%K Bit allocation
%K Block-adaptive quantization<br>SAR原始数据压缩
%K 离散余弦变换
%K 比特分配
%K 分块自适应量化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=17CC67C0C35D7B35&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=5D311CA918CA9A03&sid=29A58EDE5D324924&eid=DC8E8C328836185A&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=9