A novel method for increasing the spatial resolution of remote sensing images using lookup table

Different methods have been proposed to increase the image spatial resolution by mixed pixels decomposition. These methods and their problems will be examined in this study. Common methods are reviewed with more emphasis. And finally, a new method for increasing the spatial resolution will be proposed to resolve some of the weaknesses of existing methods. This method uses a proper lookup table, which is derived from input image. By definition a similarity metric function, we obtain a similar pixel for every input pixel. These similar pixels have equal subpixel structures hence an input pixel will be decomposed to a proper set of subpixels. In the high quality images, these subpixels are usually belong to pure classes. Simulation results on artificial and real data show a good subpixel decomposition performance of proposed method relative to those of other comparable methods.