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The traditional IHS fusion, as a spatial domain method, mostly achieves the good spatial quality but the spectral distortion. Thediscrete fractional random transform (DFRNT) fusion, as a transform domain method, can maintain the high spectral information.Thus, in this paper, we propose a combined DFRNT-IHS approach to obtain good spectral quality and high spatial quality. Moreover,instead of fusion in spatial domain or transform domain respectively as in the conventional way, the proposed DFRNT-IHS approachis for joint spatial and transform domain. Real multi-spectral and panchromatic images are used to evaluate the effectiveness of theproposed method. The fused images are found to preserve both the spectral information of the multi-spectral image and the highspatial resolution information of the panchromatic image more effectively than several existing image fusion techniques. Spectrumdistribution of DFRNT is random and dispersive, which guarantees low spectral distortion and certain robustness

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Remote Sensing Image Fusion Based on Discrete Fractional Random Transform for Modified IHS