[1]刘凯峰 张德祥.基于小波变换区域方差的遥感图像融合新算法[J].计算机技术与发展,2007,(05):177-179.
 LIU Kai-feng,ZHANG De-xiang.A New Fusion Algorithm of Remote Sensing Image Based on Local Deviation of Wavelet Transform[J].,2007,(05):177-179.
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基于小波变换区域方差的遥感图像融合新算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年05期
页码:
177-179
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A New Fusion Algorithm of Remote Sensing Image Based on Local Deviation of Wavelet Transform
文章编号:
1673-629X(2007)05-0177-03
作者:
刘凯峰 张德祥
安徽大学电子科学与技术学院
Author(s):
LIU Kai-feng ZHANG De-xiang
School of Electronic Science and Technology of Anhui University
关键词:
小波变换图像融合多窗口区域方差性能评价
Keywords:
wavelet transform image fusion multi - window local deviation performance evaluation
分类号:
TN911.73 TP301.6
文献标志码:
A
摘要:
提出一种基于小波变换的遥感图像融合新算法。利用离散小波变换把图像分解成不同尺度的低频和高频部分,采用小波区域窗口和子区域窗口统计把小波系数分类成边缘和非边缘系数。在融合处理中,低频图像的小波系数平均值作为融合后的低频系数,高频细节系数根据不同区域特征选择方法以及对应输入图像小波系数的最大多窗口区域方差来确定融合后高频小波系数。实验结果表明,这种方法能够在保留图像微小细节方面获得满意的结果,这种算法有效且优于其他的图像融合方法
Abstract:
A new image fusion algorithm of remote sensing image based on wavelet transform is proposed. Discrete wavelet transform decomposes an image into low frequency hand and high frequency hand in different level; local window and local sub- window statistic in the wavelet domain are used to further classify the wavelet coefficients into the edge and non - edge coefficients, In the fusion processing, the fused approximate coefficients are obtained by average method, the fused detailed coefficients are obtained by several different area - based feature selection method and by ,setting each coefficient equal to the corresponding input image wavelet coefficient that has the greatest multi - window local deviation, Experimental results show that the proposed algorithm can retain subtle image detail and achieve an excellent effect and the new image fusion algorithm provides a performance better than that of other methods

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备注/Memo

备注/Memo:
安徽省教育厅基金资助项目(2005kj058)刘凯峰(1972-),男,安徽合肥人,硕士,讲师,研究方向为信号检测与处理
更新日期/Last Update: 1900-01-01