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遥感图像中云层遮挡影响消除方法研究述评
引用本文:陈姚,王金亮,李石华.遥感图像中云层遮挡影响消除方法研究述评[J].国土资源遥感,2006,17(1):61-65.
作者姓名:陈姚  王金亮  李石华
作者单位:云南师范大学旅游与地理科学学院,昆明,650092
基金项目:中国科学院资助项目 , 云南省自然科学基金
摘    要: 综合评述了目前用于消除遥感图像云层遮挡影响方法的原理、应用现状及处理过程中存在的问题,并在同一实验区比较了同态滤波和Kriging插值等方法的处理效果,结果表明,Kriging插值处理具有一定的优越性。

关 键 词:云覆盖  遥感图像  消除处理  Kriging插值
文章编号:1001-070X(2006)01-0061-05
收稿时间:2005-06-30
修稿时间:2005-10-20

THE METHODS FOR REMOVING THE EFFECTS OF CLOUD COVER IN REMOTE SENSING IMAGES
CHEN Yao,WANG Jin-liang,LI Shi-hua.THE METHODS FOR REMOVING THE EFFECTS OF CLOUD COVER IN REMOTE SENSING IMAGES[J].Remote Sensing for Land & Resources,2006,17(1):61-65.
Authors:CHEN Yao  WANG Jin-liang  LI Shi-hua
Institution:College of Tour and Geographic Science, YunNan Normal University, Kunming 650092, China
Abstract:Cloud cover is a very common noise in remote sensing images.The removal of the effects of cloud cover and the acquisition of real information from the covered area constitute an important task in image recognition and classification.In this paper,the authors have summarized the methods for removing the effects of cloud cover.A comparison of the results between homomorphic filter processing and Kriging interpolation in the same study area shows that the latter method is better than the former.
Keywords:Cloud cover  RS images  Processing for removing  Kriging interpolation
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