Publicação: Building roof contour extraction from LiDAR data
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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.
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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
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Inglês
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American Society for Photogrammetry and Remote Sensing Annual Conference 2011, p. 88-92.
