文章基本信息

标题：AUTOMATIC BUILDING RECOGNITION FROM DIGITAL AERIAL IMAGES
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作者：Mohammad Saadat Seresht
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：2000
卷号：XXXIII Part B3(/1+2)
页码：792-798
出版社：Copernicus Publications
摘要：Automatic building extraction from large-scale aerial images is at beginning of the way, but after recent developments in related techniques, it can be automated partly and hence can be economized time and cost. From 1988, various groups in whole world have been studied on recognition and reconstruction of buildings from aerial images. From working on buildings with simple and flat roofs to reconstruction of buildings with complicated roofs and also using of texture analysis, color analysis, shadow analysis and height analysis are the range of various techniques today. In this article a method of hierarchical building recognition is studied
关键词：City models; Building reconstruction; Feature extraction; Data fusion