Image Fusion of SAR Remote Sensing with Laplacian Pyramid Transformation Fusion Algorithm Based on-Local Conditional Information of Image
基于纹理特征的拉普拉斯金字塔形微波遥感图像融合

Taking advantage of Laplacian pyramid transformation and statistical characteristic of fully developed speckle in SAR images,a Laplacian pyramid transformation fusion algorithm based on local conditional information of SAR image is proposed.When applied to the fusion of alternating polarization SAR images of urban terrain,it provides higher quality fusion results than fusion algorithms based on data variation,entropy or edge features,with lower mean absolute error and cross entropy as well as higher peak to peak signal to noise ratio and correlation coefficient.