一种基于小波变换的高倍数SAR原始数据压缩算法

潘志刚; 王岩飞

一种基于小波变换的高倍数SAR原始数据压缩算法

潘志刚^{①②;王岩飞},
王岩飞

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出版历程
- 收稿日期: 2005-01-25
- 修回日期: 2005-09-15
- 刊出日期: 2006-10-19

A Wavelet-Based Algorithm for SAR Raw Data Compression

Pan Zhi-gang^{①②;王岩飞},
Wang Yan-fei

摘要

摘要: 该文提出了一种基于分块提升小波变换的SAR原始数据压缩算法。在该算法中，针对SAR原始数据特点，提出一种有效的小波子带比特分配策略,为获得最优量化增益，在高比特率和低比特率两种情况下，分别采用均匀和非均匀Lloyd-Max量化器对小波系数进行量化。实验结果表明，该算法与传统BAQ和BAVQ算法相比，在信噪比和图像质量等各方面指标都取得了明显的改善。
- 原始数据压缩; 提升小波变换; 最优比特分配; Lloyd-Max量化器
Abstract: In this paper, a technique for compressing Synthetic Aperture Radar(SAR) raw data using block lifting wavelet transform is considered. Due to the statistical properties of SAR signal, a proper subband bit allocation strategy is presented. At high bit rates and low bit rates, the uniform and non-uniform Lloyd-Max quantizer optimized for Gaussian statistics is respectively used to quantize the wavelet coefficients in order to get the optimum quantization gain. The performances achieved in terms of bit rate reduction and certain quality parameters have been evaluated. These show an increased performance in this method with respect to conventional methods.

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