Extraction of Roads from Aerial Imagery Based on Grouping and Local Context
نویسنده
چکیده
This paper addresses the automatic extraction of roads from aerial imagery. As only the automatic extraction of parts of the road network is possible in a single step, grouping is an inherent problem. For this a road extraction scheme based on iterative local grouping of “road objects” is proposed. Apart from geometric grouping cues and radiometric attributes also information about local context is integrated in the road model. Contextual information is used to evaluate situations where the verification of connection hypotheses using radiometric properties fails. Results show the validity of the proposed approach.
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Multi-scale Road Extraction Using Local and Global Grouping Criteria
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