基于小波的SAR原始数据幅相压缩算法

周梅; 张志敏; 邓云凯

doi:10.3724/SP.J.1146.2006.00444

基于小波的SAR原始数据幅相压缩算法

doi: 10.3724/SP.J.1146.2006.00444

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出版历程
- 收稿日期: 2006-04-07
- 修回日期: 2006-09-18
- 刊出日期: 2007-10-19

Wavelet-based Magnitude and Phase Compression of SAR Raw Data

摘要

摘要: 根据SAR原始数据幅值和相位统计独立的分布特点，该文在分析了SAR原始数据幅值的小波域系数特性后，研究了对SAR原始数据的幅值和相位分别进行量化的基于小波变换的幅相压缩算法。文中采用此算法对实际合成孔径雷达数据进行了压缩，结果表明，与传统的BAQ算法相比，该算法在很好保持数据的相位信息的同时，压缩效果有了明显的改善。
- 合成孔径雷达;原始数据;小波变换;幅相压缩
Abstract: Considering the statistical independent property between phase and amplitude of SAR raw data, a new method is provided that the amplitude and phase of raw data are compressed respectively based on wavelet transform after a thorough analysis on the decomposed wavelets coefficients of the amplitude. By using the real SAR raw data, the performances achieved in terms of certain parameters are evaluated. The results show that this algorithm is superior to the traditional BAQ algorithm, simultaneously in terms of the reservation of phase information.

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