一种非一致小波基的超光谱图像压缩方法  

Hyperspectral Image Compression Method Based on Non-uniform Wavelet Transform

作　　者：陈雷[1] 张晓林[1] 杨维松[1] 韩松[1] 

机构地区：[1]北京航空航天大学电子信息工程学院,北京100191

出　　处：《光电工程》2009年第6期31-36,共6页Opto-Electronic Engineering

基　　金：十一五装备预研项目(513060501;41501010510);国家自然科学基金资助项目(60702012)

摘　　要：传统的三维小波变换在不同维采用相同的小波基且频谱分辨能力也是相同的,这不能与超光谱图像的特性相匹配。本文提出了一种新的采用非一致小波基的去偶结构的三维小波变换的超光谱压缩方法。由于超光谱图像光谱维和空间维具有明显不同的特性而设计的,本文采用一种非一致小波基设计思路,对不同维使用不同的小波基并与去偶的小波变换结构结合在一起进行小波变换。为了获得符合不同维特性的最优的小波基组,本文通过评估指标来测试各种小波基组合的性能。实验结果表明,本文提出的方法能够明显提高超光谱图像的压缩比,且不需牺牲计算复杂度、可扩展性等额外代价。A new hyperspectral image compression method is proposed by use of the separable non-uniform decoupled 3-D wavelet transform. The method is designed according to the fact that the properties of the different dimensions are distinctly unlike in the hyperspectral images. Traditional 3-D wavelet transform uses same wavelet base for the different dimensions and the frequency spectrum of 3D filters is identical. So we apply different wavelet bases to different dimensions, and design the method with the decoupled wavelet structure. In order to obtain the optimal combination of the wavelet bases, four evaluation items are used. Result shows that the new 3-D hyperspectral image compression method can significantly improve the compression ratio without sacrificing other features such as scalability and computational efficiency.

关 键 词：非一致小波基 超光谱图像 小波变换 广义编码增益 

分 类 号：TN919.8[电子电信—通信与信息系统]