Stripe removal method for remote sensing images based on multi-scale variation model

Abstract

Remote sensing images are often affected by severe stripe noise, which degrades image quality. In this paper, a destriping method is proposed with the multi-scale variation model on the basis of stripe noise analysis. First, the stripe noise model is established. Then, the multi-scale energy function is constructed with the unidirectional characteristics of stripe noise. Last, the function is optimized with the split Bregman approach, and the destriped image is obtained by the accumulation of the component in each scale. Experimental results on MODIS level 1B data show that the image quality and quantitative evaluation index can be improved. Compared with the typical destriping method, the proposed method is proved to remove stripe noise effectively while preserve detail information.