基于提升小波和分块自适应量化的SAR原始数据压缩  

SAR Raw Data Compression Based on Lifting Wavelet Transform and Block Adaptive Quantization

作　　者：李星[1] 江志农[1] 

机构地区：[1]北京化工大学信息学院,北京100029

出　　处：《计算机与现代化》2009年第10期10-13,共4页Computer and Modernization

摘　　要：利用合成孔径雷达(SAR)原始数据满足局部平稳高斯随机过程的特点和小波变换的多分辨分解消除信号相关性的特性,本文研究提升小波变换和分块自适应量化(BAQ)相结合的SAR原始数据压缩算法。通过对真实的SAR原始数据进行压缩实验,取得满意的效果。SAR raw data compression by using lifting wavelet transform and block adaptive quantization is studied based on the known results, that a block normalized SAR raw signal is a Gaussian stationary process and the feature of wavelet transform can eliminate the signal correlation for its multi-resolution decomposition. Through the experiment, the results achieved are satisfied.

关 键 词：SAR原始数据压缩 分块自适应量化 小波变换 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]