Combination of IHS and Spatial PCA Methods for Multispectral and Panchromatic Image Fusion

Intensity-Hue-Saturation (IHS) and Principal Component Analysis (PCA) are two famous methods to which image fusion algorithms can be reported when mergingpanchromatic (Pan) and multispectral (MS) images, acquired with different spatial and spectral resolutions. The IHS is a wellknownpan-sharpening approach widely used for its efficiency and high spatial resolution. However, it can distort the spectral characteristics of the multispectral images. The spatial PCA method can preserve spectral information of Multispectral images. In this paper, a new hybrid algorithm is proposedwhich uses both the spatial PCA and IHS methods to improve the result of the merged images. Visual and statistical analyzesshow that the proposed algorithm clearly improves the mergingquality in terms of: RASE, ERGAS, SAM, correlation coefficient and UIQI; compared to fusion methods including, IHS, Brovey, PCA and HPM