End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models

For accurate urban planning, three-dimensional (3D) building models with a high level of detail (LOD) must be developed. However, most large-scale 3D building models are limited to a low LOD of 1–2, as the creation of higher LOD models requires the modeling of detailed building elements such as wall...

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Autori principali:	Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-05-01
Serie:	Remote Sensing
Soggetti:	3D building model building matching omnidirectional image building footprint building element extraction texture synthesis
Accesso online:	https://www.mdpi.com/2072-4292/16/11/1858
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