| 基于多重集典型相关分析的图像融合方法 |
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| 引用本文： | 潘瑜,徐丽燕,王静,夏德深.基于多重集典型相关分析的图像融合方法[J].航天返回与遥感,2011,32(3):69-76. |
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| 作者姓名： | 潘瑜 徐丽燕 王静 夏德深 |
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| 作者单位： | 南京理工大学计算机科学与技术学院,南京,210094 |
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| 摘 要： | 提出了多重集典型相关分析在图像融合中应用.多重集典型相关分析能够最大化多组图像之间的互信息量,从而提升融合后图像的信息量.在对图像进行小波分解后,多重集典型相关分析应用于低频系数的融合.实验表明,该方法能够同时获取多组图像融合所需的权重参数,并使得融合后图像信息量得到提升.
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| 关 键 词： | 图像融合 多重集典型相关分析 小波分解 近似图像 |
An Image Fusion Method based on Multi-set Canonical Correlation Analysis |
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| Pan Yu,Xu Liyan,Wang Jing,Xia Deshen.An Image Fusion Method based on Multi-set Canonical Correlation Analysis[J].Spacecraft Recovery & Remote Sensing,2011,32(3):69-76. |
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| Authors: | Pan Yu Xu Liyan Wang Jing Xia Deshen |
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| Institution: | Pan Yu Xu Liyan Wang Jing Xia Deshen (School of Computer Science and Technology, Nanjing University of Science and Technology,Nanjing 210094,China) |
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| Abstract: | This paper proposed the application of Multi-set Canonical Correlation Analysis(MCCA) in image fusion.MCCA is able to maximize the mutual information of multi sets of images and this makes MCCA improve the information of fused images.Combining with wavelet decomposing,MCCA is applied to fuse the approximate images.The experiments demonstrate that this method can not only simultaneously acquire the weight parameters of multi sets of images,but also improve the image quality of fused images. |
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| Keywords: | Image fusion Multi-set canonical correlation analysis Wavelet decomposing Approximate image |
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