[1]李慧,林克正.基于小波包的遥感图像融合新算法[J].哈尔滨理工大学学报,2009,(05):68-71.
 LI Hui,LIN Ke-zheng.New Remote Sensing Image Fusion Based on Wavelet Packet Algorithm[J].哈尔滨理工大学学报,2009,(05):68-71.
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基于小波包的遥感图像融合新算法()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2009年05期
页码:
68-71
栏目:
计算机与控制工程
出版日期:
2009-10-25

文章信息/Info

Title:
New Remote Sensing Image Fusion Based on Wavelet Packet Algorithm
作者:
李慧; 林克正;
哈尔滨理工大学计算机科学与技术学院;
Author(s):
LI Hui; LIN Ke-zheng
School of Computer Science and Technology; Harbin University of Science and Technology; Harbin 150080; China
关键词:
遥感图像融合 小波包变换 多分辨率分析 局域方差
Keywords:
remote sensing image fusion wavelet packet transform multi-resolution analysis local deviation
分类号:
TP751
文献标志码:
A
摘要:
提出了一种基于正交小波包的局域方差遥感图像融合新算法.该算法利用正交小波包变换,把图像分解成不同尺度的低频和高频部分,采用小波包局域窗口和子区域窗口统计,把小波包系数分类成边缘和非边缘系数.在融合处理中,把低频图像的小波包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图像小波包系数的多窗口区域方差,来确定融合后高频小波包系数.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,有效且优于其他图像融合算法.
Abstract:
In this paper we presented a new wavelet packet transform method based on local deviation.Wavelet packet transform decomposed an image into low frequency hand and high frequency hand in different level;local window and local sub-window statistic in the wavelet domain were used to further classify the wavelet coefficients into the edge and non-edge coefficients.In the fusion processing,the fused approximate coefficients were obtained by average method,the fused detailed coefficients were obtained by several ...
更新日期/Last Update: 2009-12-16