Building roof contour extraction from LiDAR data
Carregando...
Arquivos
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Trabalho apresentado em evento
Direito de acesso
Acesso aberto
Arquivos
Resumo
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.
Descrição
Palavras-chave
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
Idioma
Inglês
Citação
American Society for Photogrammetry and Remote Sensing Annual Conference 2011, p. 88-92.
