摘要
云覆盖是遥感图像解译过程中常遇到的问题。本文在介绍了几种常用于多传感器遥感图像去云方法的基础上,探讨了基于精度融合的频率域高通滤波去云方法,并对ETM图像进行去云处理,结果表明这种方法具有很好的去云效果,同时计算简便,此外这种方法还具有很强的普适性。
Cloud cover is a kind of pervasive phenomena in remote sensing images. This paper discusses the methods previously used in cloud removal of multi-spectral raster image and presents resolution merge, high-pass filtering method based on frequency domain image. The application results of the method to ETM-LANDSAT image and analysis of the results show the new method can achieve a better result in removing cloud of ETM data and easy calculating.Farthermore,the new method is also applicable in cloud removal of other multispectral remote sensing data.
出处
《计算机与现代化》
2005年第6期13-15,共3页
Computer and Modernization
基金
重庆市科委攻关项目(6217)
重庆市教委科技项目(011802)
关键词
精度融合
高通滤波
去云
resolution merge
high-pass filtering
cloud removal
