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Topographic laser ranging and scanning, ch 14. Feature extraction from lidar data in urban areas / Frédéric Bretar (2009)
Titre de série : Topographic laser ranging and scanning, ch 14 Titre : Feature extraction from lidar data in urban areas Type de document : Chapitre/Contribution Auteurs : Frédéric Bretar, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2009 Importance : pp 403 - 419 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Ransac (algorithme)
[Termes IGN] toit
[Termes IGN] transformation de Hough
[Termes IGN] zone urbaineRésumé : (auteur) This chapter focuses on the extraction of three-dimensional (3D) planar primitives. It presents two approaches for detecting 3D roof facets; the first one is based on the analysis of the 3D point cloud while the second one integrates aerial images. The extraction of lines from a Light Detection and Ranging (LiDAR) point cloud is a difficult task since LiDAR points are randomly distributed over surfaces: depending on the point density, building edges are approximately delineated. Integrating aerial images with LiDAR data in a primitive detection process may highly enhance the resulting facets. Automatic mapping of urban areas from aerial images is a challenging task for scientists and surveyors because of the complexity of urban scenes. The chapter shows that searching for planar primitives in a LiDAR point cloud has limitations with regard to a joint use of aerial images and LiDAR data. Numéro de notice : H2009-008 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102233