HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Scalable Evaluation of 3D City Models

Oussama Ennafii 1 Arnaud Le Bris 1 Florent Lafarge 2 Clément Mallet 1
1 MATIS - Méthodes d'Analyses pour le Traitement d'Images et la Stéréorestitution
LaSTIG - Laboratoire des Sciences et Technologies de l'Information Géographique
2 TITANE - Geometric Modeling of 3D Environments
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The generation of 3D building models from Very High Resolution geospatial data is now an automatized procedure. However , urban areas are very complex and practitioners still have to visually assess the correctness of these models and detect reconstruction errors. We proposed an approach for automatically evaluating the quality of 3D building models. It is cast as a supervised classification task based on a hierarchical taxon-omy and multimodal handcrafted features (building geometry, optical images, height data). In this paper, we evaluate how the urban area composition impacts prediction transferability and scalability of our framework to unseen scenes. This allows to define minimal feature and training sets for a problem where no benchmark data has been released so far.
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download

Contributor : Florent Lafarge Connect in order to contact the contributor
Submitted on : Wednesday, June 26, 2019 - 8:42:42 AM
Last modification on : Tuesday, May 4, 2021 - 2:54:21 PM


Files produced by the author(s)


  • HAL Id : hal-02165557, version 1


Oussama Ennafii, Arnaud Le Bris, Florent Lafarge, Clément Mallet. Scalable Evaluation of 3D City Models. IGARSS 2019 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨hal-02165557⟩



Record views


Files downloads