| BP神经网络在多源图像融合中的应用研究 |
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| 引用本文： | 徐金龙,庞尚珍.BP神经网络在多源图像融合中的应用研究[J].四川轻化工学院学报,2010(6):707-711. |
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| 作者姓名： | 徐金龙 庞尚珍 |
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| 作者单位： | 四川理工学院自动化与电子信息学院,四川自贡643000 |
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| 基金项目： | 国家863高技术研究发展计划项目（2008AA11A134）;四川理工学院人才引进科研启动项目（07ZR25） |
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| 摘 要： | 采用BP神经网络与SVR融合法相结合的方法来实现像素级多源图像融合。改进型的SVR方法，用来进行全色波段和多光谱波段的融合。首先将各多光谱波段与全色波段求算回归系数，然后利用回归系数与多光谱波段合成模拟高空间分辨率全色波段，最后利用比值变换完成各波段的融合．通过仿真证明，BPNN—SVR融合法优于SVR融合法。
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| 关 键 词： | 像素级 图像融合 BP神经网络 SVR方法 |
Application Research of BP Neural Network in the Multi-source Image Fusion |
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| XU Jin-long,PANG Shang-zhen.Application Research of BP Neural Network in the Multi-source Image Fusion[J].Journal of Sichuan Institute of Light Industry and Chemical Technology,2010(6):707-711. |
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| Authors: | XU Jin-long PANG Shang-zhen |
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| Affiliation: | ( School of Automation and Electronic Information, Sichuan University of Science ＆ Engineering, Zigong 643000, China) |
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| Abstract: | The method which unified the BP neural network and the SVR fusion law to realize the pixel-leve 1 muhiple source image fusion is used in this paper. The advanced version SVR method was used to carry on the panchromatic wave band and the multi-spectrum wave hand fusion. First asks each multi-spectrum wave band and the panchromatic wave band to calculate the regression coefficient, then simulates the high spatial resolution panchromatic wave band using the regression coefficient with the multi-spectrum wave band synthesis, finally completes various wave bands using the ratio transformation the fusion. Proved through the simulation that, .the BPNN-SVR fusion method surpasses the SVR fusion method. |
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| Keywords: | pixel-leve image fusion BP neural network SVR method |
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