AI4GEO: A Path From 3D Model to Digital Twin.

Pierre-Marie Brunet, Simon Baillarin,Pierre Lassalle, Flora Weissgerber,Bruno Vallet, Triquet Christophe, Gilles Foulon, Gaëlle Romeyer, Gwenaël Souille, Laurent Gabet,Cedrik Ferrero,Thanh-Long Huynh, Emeric Lavergne

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)(2022)

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摘要
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 in-situ 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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关键词
Optical Image processing, Photogrammetry, Semantic segmentation, CityGML, 3D, Digital Twin
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