The separation of high resolution remote sensing images based on dictionary learning

Separating the high resolution remote sensing images is a difficult problem in the relative research field of image processing and remote sensing. A novel model of separating the high resolution remote sensing images is proposed based on sparse representation, different dictionary which has an efficient indication of different content of remote sensing image is obtained based on dictionary learning algorithm according to the characteristics of the high spatial resolution remote sensing images, separating by SSF algorithm. After experimental, it is showed that the algorithm can separate features of remote sensing images better, and it is more robust.