基于数学形态学的遥感影像薄云处理方法  

Removing Thin Cloud Arithmetic Based on Mathematic Morphology for Remote Sensing Image

作　　者：曹爽[1,2] 李浩[2] 马文[1,2] 

机构地区：[1]南京信息工程大学遥感学院,江苏南京210044 [2]河海大学土木工程学院,江苏南京210098

出　　处：《地理与地理信息科学》2009年第4期30-33,共4页Geography and Geo-Information Science

基　　金：南京信息工程大学科研基金项目(20070067)

摘　　要：为解决在利用遥感影像制图时云层遮挡造成的影像信息缺损,提出基于数学形态学的滤波去薄云算法。首先利用数学形态学中的开、闭运算分离影像的高、低频成分,再对薄云所处的影像的低频部分进行滤波,以达到去除薄云的目的。利用SPOT影像进行实验,通过目视评价及对薄云处理前后影像统计指标的比较,证明该文提出的方法比传统的同态滤波去薄云方法效果有一定的改善和提高。The cloud is detrimental element in remote sensing image processing. In order to remove thin cloud from the image, this paper put forward the arithmetic of removing thin cloud, which based on the mathematic morphology. Firstly to separate the high and low frequency by the method of opening and closing operation combination in mathematics morphology, and then to fil ter the low frequency of the image with thin cloud. After evaluating the experiment on SPOT image by visual method and com- paring the statistical indexes of the image removing thin cloud with the original image, the experiment indicates that the new method can achieve better result than the traditional homomorphism filter method.

关 键 词：数学形态学 遥感影像 去薄云 同态滤波 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]