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

作　　者：周小军[1] 郭佳[2] 周承仙[3] 谭薇[1] 

机构地区：[1]甘肃工业职业技术学院,甘肃天水741025 [2]西安应用光学研究所,陕西西安710065 [3]厦门理工学院,福建厦门361024

出　　处：《无线电工程》2015年第3期14-18,共5页Radio Engineering

基　　金：国家教育体制改革试点基金资助项目(08-128-238)

摘　　要：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.

关 键 词：遥感图像 同态滤波 去云处理 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]