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BP神经网络在多源图像融合中的应用研究
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]. 四川理工学院学报(自然科学版), 2010, 23(6)
作者姓名:徐金龙  庞尚珍
基金项目:国家863高技术研究发展计划项目,四川理工学院人才引进科研启动项目
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。

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
XU Jin-long,PANG Shang-zhen. Application Research of BP Neural Network in the Multi-source Image Fusion[J]. Journal of Sichuan University of Science & Engineering(Natural Science Editton), 2010, 23(6)
Authors:XU Jin-long  PANG Shang-zhen
Abstract:The method which unified the BP neural network and the SVR fusion law to realize the pixel-leve l multiple 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 band 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.
Keywords:pixel-leve  image fusion  BP neural network  SVR method
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