文章基本信息

标题：An Edge Detection Algorithms for Remote Sensing Image
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作者：Lixia Xue ; Zuocheng Wang
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B3b
页码：423-430
出版社：Copernicus Publications
摘要：An edge detection algorithm for multispectral remote sensing image is proposed in this paper. According to the uncertainty of the objects in the RS image and the characters of multispectral image, we extend the one-dimensional cloud-space mapping model to the multi-dimensional model. The object-cloud will have the multi-dimensional digital characteristics to describe the fuzziness and randomicity of spatial objects. According to the cloud operation, multi-dimensional boundary-cloud and its digital characteristics can be obtained and the membership matrix of transition region for each dimension can be constructed. By maximum fuzzy entropy principle, edge detection can be accomplished in the membership matrix of transition region. Integrated the results of all dimensions by matrix superposition, the ultimate edge map can be obtained
关键词：Multispectral RS image; Edge detection; Object-cloud; Multi-dimensional spatial mapping model