Building roof contour extraction from LiDAR data

• Autor(a) principal: Dal Poz, Aluir P. [UNESP]
• Data de Publicação: 2011
• Outros Autores: Galvanin, Edinéia A.S.
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://www.asprs.org/a/publications/proceedings/Milwaukee2011/files/Dal_Poz.pdf; http://hdl.handle.net/11449/72970
• topic: Building roof contours; DSM; Markov random field; Simulated annealing; Automatic extraction; Building roof; Contour Extraction; Digital surface models; Energy functions; LIDAR data; Markov Random Fields; Polygonization; Region-merging; Spatial constraints; Splitting techniques; Vectorization; Optical radar; Photogrammetry; Remote sensing; Roofs; Buildings

This paper proposes a method for the automatic extraction of building roof contours from a LiDAR-derived digital surface model (DSM). The method is based on two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region merging process. Vectorization and polygonization are used to obtain polyline representations of the detected aboveground objects. Second, building roof contours are identified from among the aboveground objects by optimizing a Markov-random-field-based energy function that embodies roof contour attributes and spatial constraints. Preliminary results have shown that the proposed methodology works properly.