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基于HVS和模糊隶属度函数的卫星图像融合算法
引用本文:陈晓梅,李朝锋,杨蒙召.基于HVS和模糊隶属度函数的卫星图像融合算法[J].测绘信息与工程,2011,36(1):34-36.
作者姓名:陈晓梅  李朝锋  杨蒙召
作者单位:江南大学商学院;江南大学信息工程学院;
摘    要:提出了一种基于人类视觉系统和模糊隶属度函数的小波卫星图像融合新算法,利用小波域的人类视觉系统经验模型,刻画图像的边缘、纹理及高亮区域,采用模糊隶属度函数自适应地计算权系数,在小波域上通过加权平均实现了图像融合。

关 键 词:小波变换  人类视觉系统  模糊隶属度  卫星图像融合

Satellite Image Fusion Algorithm of Combining HVS and Fuzzy Membership Function
CHEN Xiaomei,LI Chaofeng,YANG Mengzhao.Satellite Image Fusion Algorithm of Combining HVS and Fuzzy Membership Function[J].Journal of Geomatics,2011,36(1):34-36.
Authors:CHEN Xiaomei  LI Chaofeng  YANG Mengzhao
Institution:CHEN Xiaomei1 LI Chaofeng2 YANG Mengzhao2(1 Business Shool,Jiangnan University,2 School of Information Technology,1800 Lihu Road,Wuxi 214122,China)
Abstract:A new wavelet satellite image fusion algorithm,based on Human Vision System(HVS) and fuzzy membership function,is proposed.The new algorithm describes image edge,texture,and bright area by combining wavelet and HVS model.The fuzzy membership function is used to calculate their weight coefficient.The image is finally fused by weighted average method from wavelet.Compared with other algorithm described by the references,the new algorithm can gain better fusion performance.
Keywords:wavelet transform  human vision system  fuzzy membership  satellite image fusion  
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