文章基本信息

标题：MULTI-SCALE ROAD EXTRACTION USING LOCAL AND GLOBAL GROUPING CRITERIA
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作者：Albert Baumgartner
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：58-65
出版社：Copernicus Publications
摘要：In this paper we combine two approaches for road extraction. The first approach makes use of multiple scales to detect roads segments and employs local grouping criteria and also context information to extract the road network. This ap- proach is suitable for aerial imagery with a resolution of 0.2–0.5 m. The second approach was designed to extract roads from satellite imagery and can be applied to resolutions of 2–5 m. It fuses lines extracted from different channels for road extraction and exploits especially the connectivity properties of roads, i.e., global network criteria for road extraction. By combining the two approaches we can reduce the effort for selecting appropriate parameters, because both help each other to get rid of some individual deficiencies. In addition, the evaluation of the extracted road network showed significant improvements compared to the results we get by applying each approach on its own
关键词：Image Understanding; Road Extraction; Grouping