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Titel:

Enriching Thermal Point Clouds of Buildings using Semantic 3D building Models

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Zhu, Jingwei; Wysocki, Olaf; Holst, Christoph; Kolbe, Thomas H.
Seitenangaben Beitrag:
341-348
Abstract:
Thermal point clouds integrate thermal radiation and laser point clouds effectively. However, the semantic information for the interpretation of building thermal point clouds can hardly be precisely inferred. Transferring the semantics encapsulated in 3D building models at Level of Detail (LoD)3 has a potential to fill this gap. In this work, we propose a workflow enriching thermal point clouds with the geo-position and semantics of LoD3 building models, which utilizes features of both modalitie...     »
Stichworte:
GISTop_CityModeling; LOCenter; LOCTop_Data_generation_and_object_reconstruction
Herausgeber:
ISPRS
Kongress- / Buchtitel:
Proceedings of the 19th International 3D GeoInfo Conference 2024
Band / Teilband / Volume:
X-4/W5-2024
Ausrichter der Konferenz:
University of Vigo
Datum der Konferenz:
1.-3. July 2024
Verlag / Institution:
Copernicus GmbH
Publikationsdatum:
27.06.2024
Jahr:
2024
Nachgewiesen in:
Scopus; Web of Science
Serientitel:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Reviewed:
ja
Sprache:
en
Erscheinungsform:
WWW
Volltext / DOI:
doi:10.5194/isprs-annals-x-4-w5-2024-341-2024
WWW:
https://isprs-annals.copernicus.org/articles/X-4-W5-2024/341/2024/
Semester:
SS 24
TUM Einrichtung:
Lehrstuhl für Geoinformatik
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