%0 Journal Article
%T Analysis of the quantization and saturation error for space-borne SAR raw data compression algorithm in data domain<br>星载SAR原始数据实用化数据域压缩算法量化与饱和误差解析
%A HUA Bin
%A QI Hai-Ming
%A LI Xin
%A ZHANG Ping
%A <br>华斌
%A 祁海明
%A 李信
%A 张平
%J 中国科学院研究生院学报
%D 2011
%I 
%X In this paper, the analytical formula of the quantization and saturation error induced by block adaptive quantization (BAQ) and Interception of High (IH) compression algorithms are derived. Moreover, the relationship between the standard deviation of input echo signal (SDIS) and the Signal-to-noise ratio (SNR) of these two compression algorithms is given. Finally, our method is verified by using simulated SAR raw data and real data, and is shown to be a good criterion for choosing SAR raw data compression ratio.
%K synthetic aperture radar (SAR)
%K raw data compression
%K block adaptive quantization (BAQ)
%K quantization error
%K saturation error<br>合成孔径雷达
%K 原始数据压缩
%K 分块自适应量化
%K 量化误差
%K 饱和误差
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=67CDFDECD959936E166E0F72DE972847&aid=0D447B2FDACEA1B64E9A9CC37300CA26&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=CA4FD0336C81A37A&sid=BB0EA31DB1B01173&eid=8C83C265AD318E34&journal_id=1002-1175&journal_name=中国科学院研究生院学报&referenced_num=0&reference_num=19