基于改进同态滤波的遥感图像去云算法

An Algorithm of Cloud Removal for Remote Sensing Image Based on Improved Homomorphic Filtering

去云处理是遥感图像处理以及大气纠正的重要步骤。在研究传统同态滤波算法的基础上,通过构建一个适当的带阻滤波函数,提出一种新方法来滤除图像中的云雾。在Matlab软件大量实验的基础上,分别对高斯高通滤波、巴特沃斯高通滤波和提出的新算法进行了比较,并结合主观和客观的评价方法对去云效果做出评价。结果表明,新算法优于传统滤波方法,且对于薄云图像效果更佳。

Cloud removal is an very important process in atmospheric correction and remote sensing image processing. Based on the study of traditional homomorphic filtering algorithm,a new method is proposed by building a proper filter function to remove cloud in remote sensing images. By a large number of experiments on Matlab software,and combined with the subjective and objective method of remove cloud effect evaluation,this paper compares Gaussian high-pass filter,Butterworth high pass filter with the improved algorithm.The result shows that the improved algorithm can achieve better results and perform more efficiently than traditional methods,especially for thin cloud.