Obtaining of an image with high spectral and spatial resolution is the goal of image fusion. The PCA is a well-known pan-sharpening approach widely used for its efficiency and high spatial resolution. However, it can distort the spectral characteristics of the multispectral images. To avoid the weak points of the standard PCA technique, Spatial PCA transform has been proposed and the reasons of superiority of this method in maintaining of the spectral information are discussed in this paper. At the end of the paper, a new assessment is proposed and the advantage of this method relative to the conventional mutual information is argued. The proposed assessment and the other popular metrics such as: ERGAS, SAM, correlation coefficient UIQI, and mutual information are used to analyze the fusion result. These assessments show that the proposed method has the least color distortions and contains more spatial information.

Keywords: Image Fusion, Panchromatic Image, Multispectral Images, Spatial Information, Spectral Information, Standard PCA, Spatial PCA, Wavelet, Contourlet.

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