Self-adaptive fusion method for remote sensing images based on regional performance
基于区域性能的自适应遥感图像融合方法

In order to consider image fusion evaluation information when choose a fusion method, a self-adaptive fusion method for SAR and optical images based on regional performance was proposed. Firstly, a smooth filter template was used to suppress the speckle of SAR image. Then the wavelet transform was used to perform a mttltiscale decomposition of each image, To low-frequency images, by extracting a set of regional performance parameters respectively, a self-adaptive fusion was applied with the regulation of membership degree; the fusion of high-frequency images adopted high-frequency of the optical image directly. The result image was generated by reverse wavelet transform, Experiment results show that this method can obtain satisfactory effect.