Remote sensing image fusion techniques based on statistical model

In this paper, a novel algorithm of remote sensing image fusion based on statistical model is presented. The main research goal of this study is to explore a new technique for remote sensing image fusion. By using the statistical features of SAR and optical images, fused image not only combines multi-source information, but also realizes speckle noise suppression. Local-window adaptive correction is achieved according to the relationship between the edge features and the current analysis point. Model parameters are estimated by the data of local-window. The proposed algorithm improves the performance of fusion processing, and helps preserve edge features. The fusion results between SAR image and optical image show the validity of the algorithm.