The Algorithm for Removing Thick Clouds in Remote Sensing Image based on Support Vector Machine
基于支持向量机的遥感图像厚云去除算法

Thick cloud in remote sensing image greatly reduce the utilization of the images.Using the ability of support vector machine to capture the edge points and image fusion scheme,in this paper,the algorithm based on support vector machine is presented to remove thick clouds in remote sensing image.First of all,support vector value contourlet transform is constructed and the images are decomposed.Then cloud detection and image fusion are carried out.Finally the reconstructed images are got by support vector value contourlet inverse transform.The experimental results reveal that the algorithm can achieve satisfactory result for the remote sensing images with the thick clouds but no overlapping in cloud.Not only the edge information of image is preserved but also the problem of residual clouds is resolved effectively.