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Landsat TM遥感影像中厚云和阴影去除
引用本文:李炳燮,马张宝,齐清文,刘高焕.Landsat TM遥感影像中厚云和阴影去除[J].遥感学报,2010,14(3):540-551.
作者姓名:李炳燮  马张宝  齐清文  刘高焕
作者单位:1. 中国科学院地理科学与资源研究所,北京100101;朝鲜遥感与地理信息系统研究所,朝鲜,平壤
2. 中国科学院地理科学与资源研究所,北京,100101
基金项目:科技基础性工作专项项目(编号: 2007FY140800)。
摘    要:提出了一种新的利用多时相Landsat TM影像数据进行的厚云及其阴影去除的方法。该方法通过分析厚云及其阴影的光谱特征, 设计了厚云和云阴影识别模型。该算法的实现是采用图像配准技术、非监督分类、像元替换等运算, 计算出厚云和云阴影区域的TM影像替换数据, 进而得到消除或者减少云影响的TM遥感影像。试验结果表明本文提出的厚云及其阴影去除方法效果很好, 能消除或者弱化云对TM影像数据的影响。

关 键 词:Landsat  TM    厚云    云阴影    光谱特征分析    去云
收稿时间:2009/6/12 0:00:00
修稿时间:2009/9/25 0:00:00

Cloud and shadow removal from Landsat TM data
RI Pyongsop,MA Zhangbao,QI Qingwen and LIU Gaohuan.Cloud and shadow removal from Landsat TM data[J].Journal of Remote Sensing,2010,14(3):540-551.
Authors:RI Pyongsop  MA Zhangbao  QI Qingwen and LIU Gaohuan
Abstract:Cloud removal is an important step in remote sensing image process. In this paper, the author proposed a new algorithm for cloud removal using multi-temporal Landsat TM image data based on spectral characteristics analysis. Through the spectral characteristics analysis of the thick cloud region and its shadow region, the thick cloud and its shadow identification models were designed. Using image regression, unsupervised classification and pixel replacing techniques as well as these models, the influence of thick clouds and its shadows can be eliminated or reduced in the Landsat TM images. The result shows that the algorithm can eliminate or significantly reduce the cloud influence from Landsat TM image data.
Keywords:Landsat TM  image data  cloud and shadow  spectral analysis  cloud removal
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