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Fusion of panchromatic and multispectral remote sensing data using regression analysis in local region

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.