AI4GEO: A Path From 3D Model to Digital Twin - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

AI4GEO: A Path From 3D Model to Digital Twin

Résumé

3D Geospatial information plays a key role in many soaring sectors such as sustainable and smart cities, climate monitoring, ecological mobility, and economic intelligence. The availability of huge volumes of satellite, airborne and insitu data now makes this production feasible at large scale. It needs nonetheless a certain level of manual intervention to secure the level of quality, which prevents mass production. This paper presents the AI4GEO program that aims at developing an end to end solution to produce automatically qualified 3D Digital model at scale together with multiple layers of information.
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Dates et versions

hal-04108171 , version 1 (26-05-2023)

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Pierre-Marie Brunet, Simon Baillarin, Pierre Lassalle, Flora Weissgerber, Bruno Vallet, et al.. AI4GEO: A Path From 3D Model to Digital Twin. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Jul 2022, Kuala Lumpur, Malaysia. pp.4728-4731, ⟨10.1109/IGARSS46834.2022.9883433⟩. ⟨hal-04108171⟩
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