针对遥感图像融合质量评价中多波段、无地面真实参考图像的特点，提出了基于结构相似度和全局融合质量评价指标的融合质量评价方法。该方法首先采用均值变化量构造局部光谱质量加权方法，计算融合图像的光谱质量；然后结合方差构造局部空间质量加权方法，获得融合图像的空间质量；最后使用线性加权方法，计算融合图像的整体质量。通过对8种典型融合方法的结果图像进行质量评价，结果表明提出的评价方法与主观评价结果基本一致，具有可行性。

Integrating structural similarity and global quality measurement index, a new non-reference fusion quality assessment method for multispectral remote sensing imageries is proposed. First, the spectral quality is obtained from local spectral quality based on the weighting strategy of mean variable. Then, the spatial quality is achieved from local spatial quality based on the weighting strategy of standard deviation. Finally, a combined quality is calculated by linear addition. Validating experiment is carried out on eight common fusion methods using CBERS-02 multispectral and Cartosat-1 panchromatic images. The result shows the new method is consistent with the judgments based on human visual system, which indicates its efficiency.