小波理论在遥感图像融合中应用  

Remote Sensing Image Fusion Based on the Wavelet Theory

作　　者：王胜利[1] 余学祥[1] 杨然[2] 

机构地区：[1]安徽理工大学地球与环境学院,安徽淮南232001 [2]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079

出　　处：《北京测绘》2008年第3期45-49,共5页Beijing Surveying and Mapping

摘　　要：小波变换用于多源遥感图像融合已得到了国内外学者的广泛关注,并且又提出了很多小波变换与传统融合方法结合的融合算法。本文在对这些算法进行总结的基础上,讨论了基于小波包变换和最优树变换以及多进制小波变换在融合中的应用,分析他们在融合中各自的特色,以便使用时根据具体情况进行选择。Special attention is given to the Wavelet Transform by more and more scholars all over the world,and many fusion methods based on the Wavelet Transform and traditional methods are used in the image fusion.Based on a review of these methods,the methods of Wavelet Packet,Best Tree Transform and the Multi-band Wavelet Transform are given.And then their superiority and features in image fusion are analyzed.Different methods can be chosen based on the special purpose.

关 键 词：]小渡变换 多进制小波 最优树变换 图像融合 

分 类 号：P237[天文地球—摄影测量与遥感]