Because of the physical constraint of the spatial information sensor, there is a tradeoff between the spatial and spectrum
resolution of remote sensing image. A region-based regression model is presented to fuse panchromatic and multispectral
images. The upsampled MS image is segmented into isolated regions firstly. Then, a regression model is established
independently for each isolated region by considering the linear relationship between corresponding PAN and MS image
pixel values in the region. Finally, a modulation-based fusion technique is employed to get fusion result. The method is
compared with the Brovey method and the fusion based global regression in both qualitative and quantitative ways,
shows superior result.