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Auteur Hui Zhao |
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Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information / Yongzhi Wang in ISPRS Journal of photogrammetry and remote sensing, vol 139 (May 2018)
[article]
Titre : Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information Type de document : Article/Communication Auteurs : Yongzhi Wang, Auteur ; Yuqing Ma, Auteur ; A - Xing Zhu, Auteur ; Hui Zhao, Auteur ; Lixia Liao, Auteur Année de publication : 2018 Article en page(s) : pp 146 - 153 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] façade
[Termes IGN] image optique
[Termes IGN] semis de pointsRésumé : (Auteur) Facade features represent segmentations of building surfaces and can serve as a building framework. Extracting facade features from three-dimensional (3D) point cloud data (3D PCD) is an efficient method for 3D building modeling. By combining the advantages of 3D PCD and two-dimensional optical images, this study describes the creation of a highly accurate building facade feature extraction method from 3D PCD with a focus on structural information. The new extraction method involves three major steps: image feature extraction, exploration of the mapping method between the image features and 3D PCD, and optimization of the initial 3D PCD facade features considering structural information. Results show that the new method can extract the 3D PCD facade features of buildings more accurately and continuously. The new method is validated using a case study. In addition, the effectiveness of the new method is demonstrated by comparing it with the range image-extraction method and the optical image-extraction method in the absence of structural information. The 3D PCD facade features extracted by the new method can be applied in many fields, such as 3D building modeling and building information modeling. Numéro de notice : A2018-113 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.11.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.11.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89543
in ISPRS Journal of photogrammetry and remote sensing > vol 139 (May 2018) . - pp 146 - 153[article]Exemplaires(1)
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