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一种基于同态滤波的遥感图像薄云去除算法
引用本文:李刚,杨武年,翁韬.一种基于同态滤波的遥感图像薄云去除算法[J].测绘科学,2007,32(3):47-48.
作者姓名:李刚  杨武年  翁韬
作者单位:成都理工大学遥感与GIS研究所,成都,610059;成都理工大学遥感与GIS研究所,成都,610059;成都理工大学遥感与GIS研究所,成都,610059
摘    要:目前国内外常用的去除遥感图像薄云的方法是同态滤波法,但该方法在去除薄云的同时,图像无云区域特别是边缘区域的信息出现了严重丢失。为此,提出了基于同态滤波的像素替换法,该方法既可以去除薄云,又可以恢复无云区域的信息,使得处理后的图像和原始图像在无云区域有极大程度上的相似性。

关 键 词:遥感图像  去云  同态滤波  像素替换
文章编号:1009-2307(2007)03-0047-02
修稿时间:2006-07-05

A method of removing thin cloud in remote sensing image based on the homomorphic filter algorithm
LI Gang,YANG Wu-nian,WENG Tao.A method of removing thin cloud in remote sensing image based on the homomorphic filter algorithm[J].Science of Surveying and Mapping,2007,32(3):47-48.
Authors:LI Gang  YANG Wu-nian  WENG Tao
Abstract:The homomorphic filter algorithm is used widely in the world for removing thin cloud in remote sensing image recently, but the information of the no cloud areas in the image is lost seriously when removing cloud by this method. So, the authors put forward the pixel replacement method based on the homomorphic filter algorithm. This method can not only remove thin cloud in remote sensing image but also recover the information of the no cloud areas and keep the original image and the processed image alike at the most extent.
Keywords:remote sensing image  removing cloud  homomorphic filter  pixel replacement
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