期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：1
页码：121-134
DOI：10.14257/ijsip.2014.7.1.12
出版社：SERSC
摘要：The accurate and rapid identification of landslide region is the basis for emergency disaster processing and analysis. The identification methods based on change information among multi-temporal remote optical sensing images are simple and intuitive. But its performance is remarkably limited by issues, such as unable to distinguish the changes according to the causes, improper processing strategy for impact of the adjacent pixels and the low efficiency. Thus, an approach based on digital elevation model and change information is presented in this paper. At first, the potential landslide region is calculated through slope information. And then the change information constrained by aspect information is used to identify and extract the final landslide regions. The experiment results show that, this approach can effectively distinguish the change information caused by city construction or landscaping planning. The extracted landslide regions are greatly consistent with interpretations. Meanwhile, it is effectively satisfy the demands for emergency disaster processing.
