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基于限邻域经验模式分解的多波段图像融合

Keywords: 图像融合多波段图像经验模式分解(EMD)局域波

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Abstract:

根据不同波段图像信息互补性,提出基于限邻域经验模式分解(NLEMD)的多波段图像融合新算法,将待融合图像进行NLEMD分解,利用其自适应特性及高频细节信息的强获取能力,对不同图像的内蕴模式函数分量和剩余量中的像素按照局部最优原则进行选取,将融合后的内蕴模式函数分量和剩余量反向重构获取融合图像.实验证明该算法具有更强的细节获取能力,融合效果优于传统的基于小波分解的融合算法.

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