The necessary yet complex evaluation of 3D city models: a semantic approach - INRIA - Institut National de Recherche en Informatique et en Automatique Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

The necessary yet complex evaluation of 3D city models: a semantic approach

Résumé

The automatic modeling of urban scenes in 3D fromgeospatial data has been studied for more than thirty years.However, the output models still have to undergo a tedious taskof correction at city scale. In this work, we propose an approachfor automatically evaluating the quality of 3D building models.A taxonomy of potential errors is first proposed. Handcraftedfeatures are computed, based on the geometric properties ofbuildings and, when available, Very High Resolution images anddepth data. They are fed into a Random Forest classifier for theprediction of the quality of the models. We tested our frameworkon three distinct urban areas in France. We can satisfactorilydetect, on average 96% of the most frequent errors
Fichier principal
Vignette du fichier
The_necessary_yet_complex_evaluation_of_3D_city_models__a_semantic_approach.pdf (1.38 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02165562 , version 1 (26-06-2019)
hal-02165562 , version 2 (17-07-2019)

Identifiants

Citer

Oussama Ennafii, Clément Mallet, Arnaud Le Bris, Florent Lafarge. The necessary yet complex evaluation of 3D city models: a semantic approach. JURSE 2019 - Joint Urban Remote Sensing Event, May 2019, Vannes, France. ⟨10.1109/JURSE.2019.8809002⟩. ⟨hal-02165562v2⟩
183 Consultations
216 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More