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基于小波变换局部方差的遥感图像融合
引用本文:强赞霞,彭嘉雄,王洪群.基于小波变换局部方差的遥感图像融合[J].华中科技大学学报(自然科学版),2003,31(6):89-91.
作者姓名:强赞霞  彭嘉雄  王洪群
作者单位:图像信息处理与智能控制教育部重点实验室,华中科技大学图像识别与人工智能研究所
基金项目:国家自然科学基金资助项目 (60 0 85 0 0 2 )
摘    要:为了充分利用各种感图像的信息,在分析以往图像融合方法优缺点的基础上提出了基于小波变换局部方差的融合方法,将各源图像进行小波分解,采用局部方差准则融合源图像的各分解层,再进行小波逆变换得到融合图像.利用信息熵等标准和其他融合方法进行比较,实验结果表明用此方法能得到更好的融合效果.

关 键 词:图像融合  小波变换  局部方差
文章编号:1671-4512(2003)06-0089-03
修稿时间:2002年11月29

Remote sensing image fusion based on local deviation of wavelet transform
Qiang Zanxia,Peng Jiaxiong,Wang Hongqun.Remote sensing image fusion based on local deviation of wavelet transform[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2003,31(6):89-91.
Authors:Qiang Zanxia  Peng Jiaxiong  Wang Hongqun
Institution:Qiang Zanxia Peng Jiaxiong Wang Hongqun
Abstract:In order to adequately make use of all kinds of remot e sensing images, the features and disadvantages of some important fusion methods were analyzed and a remote sensing image fusion technique based on local deviati on of wavelet transform was put forward. The original images were decomposed int o multi-resolution representation by using wavelet and were fused in each level of different input resources based on local deviation. The resultant image can be obtained by performing inverse wavelet transform. These methods were compared by computing their entropy and square error. The experimental results show that the effect of our method is more satisfactory.
Keywords:image fusion  wavelet transform  local devi ation
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