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基于MTF和变分的全色与多光谱图像融合模型

DOI: 10.16383/j.aas.2015.c140121, PP. 342-352

Keywords: 图像融合,Pan-sharpening,调制传输函数,变分,多孔小波

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Abstract:

?Pan-sharpening将高分辨率图像全色(Panchromatic,Pan)波段的空间细节注入多光谱(Multispectral,MS)波段,以生成同时具有高光谱和高空间分辨率的多光谱图像.为改善融合效果,需要考虑多光谱和全色波段的调制传输函数(Modulationtransferfunction,MTF).本文提出了一个新的基于MTF和变分的Pan-sharpening模型.该模型的能量泛函包括两项,第1项为细节注入项,基于高通滤波器从Pan波段中提取细节信息并注入融合图像;第2项为光谱保真项,基于MTF设计多孔小波的低通滤波器以保持MS波段的多光谱信息.在QuickBird、IKONOS和GeoEye数据集上的融合结果表明,该模型可以生成同时具有高空间和高光谱质量的融合图像,融合效果优于AWLP、IHS_BT、HPM-CC-PSF、NAWL、快速变分等算法.

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