%0 Journal Article
%T Block Adaptive Scalar-vector Quantization for SAR Raw Data Compression<br>块自适应标量-矢量量化算法压缩SAR原始数据
%A ZENG Shang-chun
%A ZHU Zhao-da
%A <br>曾尚春
%A 朱兆达
%J 中国图象图形学报
%D 2007
%I 
%X The block adaptive quantization(BAQ) algorithm is comparatively mature for SAR raw data compression at present. This algorithm is on the premise that SAR raw data should satisfy Gauss distribution. But the imaged region is quite rugged, for example some blocks of data do not satisfy Gaussian distribution. Therefore, a block adaptive scalar-vector quantization(BASVQ) algorithm is put forward in this paper, namely, scalar quantization is applied when data blocks satisfy Gaussian distribution while vector quantization is applied when it does not satisfy. The experiments demonstrate that the performance of BASVQ algorithm outperforms that of BAQ algorithm. The BASVQ algorithm has practical value to some degree.
%K block adaptive quantization
%K synthetic aperture radar
%K data compression
%K vector quantization<br>块自适应量化
%K 合成孔径雷达
%K 数据压缩
%K 矢量量化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=32B33361537120E5&yid=A732AF04DDA03BB3&vid=59906B3B2830C2C5&iid=5D311CA918CA9A03&sid=9C959CAF55D6B1C2&eid=FBB416F02256D8AA&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=12