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Titel:

Reviewing Open Data Semantic 3D City Models to Develop Novel 3D Reconstruction Methods

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Wysocki, Olaf; Schwab, Benedikt; Beil, Christof; Holst, Christoph; Kolbe, Thomas H.
Seitenangaben Beitrag:
493–500
Abstract:
Structured semantic 3D city models are pivotal in creating urban 3D digital twins. The wide adoption of such models has been primarily enabled by robust, model-based, and automatic 3D reconstruction methods. However, these methods impose requirements on the reconstruction, mainly restricting the solution space to several model types and relying on accurate 2D footprints. Recent research shows that deep-learning-based methods promise highly generic solution space and are footprint-free. Yet, the...     »
Stichworte:
GISPro_CityGML; GISPro_3DCityDB; GISTop_CityModeling; LOCenter; LOCTop_Data_generation_and_object_reconstruction; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
ISPRS TC IV Mid-term Symposium “Spatial Information to Empower the Metaverse”
Ausgabe:
XLVIII-4-2024
Datum der Konferenz:
22.-25.10.2024
Verlag / Institution:
ISPRS
Jahr:
2024
Quartal:
4. Quartal
Jahr / Monat:
2024-10
Nachgewiesen in:
Scopus; Web of Science
Serientitel:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Reviewed:
ja
Volltext / DOI:
doi:10.5194/isprs-archives-XLVIII-4-2024-493-2024
WWW:
https://isprs-archives.copernicus.org/articles/XLVIII-4-2024/493/2024/
TUM Einrichtung:
Lehrstuhl für Geoinformatik
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