Fusion of remote sensing images based on region standard deviation of wavelet

The fusing of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. IHS (intensity-hue-saturation) transformation is one of the most commonly used method which fusing those two kinds of images, however, the traditional IHS transformation method faces a severe problem namely color distortion. In this paper, we first review several improved IHS transformation image fusion algorithm, and then proposes a new IHS fusion method based on region standard deviation, which fuses the low-spectral/high-spatial resolution images and the Intensity component of the high-spectral/low-spatial resolution multispectral image based on region standard deviation. Further, we improve this image fusion rule in wavelet field. The experiments show that this new proposed image fusion method can effectively provide richer information in the spatial and spectral domains simultaneously.