A novel hyperspectral images destriping method based on edge reconstruction and adaptive morphological operators

In recent years, the specialized destriping methods for remote-sensing image emphasize efficiency and flexibility but lose the particulars in wide stripes. Though many excellent inpainting algorithms have been proposed, most of them are too complex and inefficient for hyperspectral image (HSI). In this paper, we propose a novel automatic completing method which is appropriate for the feature of HSI and easy to be implemented in parallel. The boundary information in broken region is restored primarily based on SVM with the input of the surrounding detected edges. Then we introduce an adaptive morphological filling operator restrained by the boundaries to estimate the pixels in the same position of all bands synchronously. Experimental results show satisfactory performance of the proposed system and its significance on HSI completion.