3D point cloud-based assessment of detailed building damage through a combination of machine learning, crowdsourcing and earthquake engineering

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Bibliographische Detailangaben
Hauptverfasser: Zahs, Vivien (VerfasserIn) , Herfort, Benjamin (VerfasserIn) , Eberl, Julia (VerfasserIn) , Ullah, Tahira (VerfasserIn) , Anders, Katharina (VerfasserIn) , Stempniewski, Lothar (VerfasserIn) , Zipf, Alexander (VerfasserIn) , Höfle, Bernhard (VerfasserIn)
Dokumenttyp: Kapitel/Artikel Konferenzschrift
Sprache:Englisch
Veröffentlicht: 2021
In: Abstracts & presentations
Year: 2021, Pages: 1-2
DOI:10.5194/egusphere-egu21-1304
Online-Zugang:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.5194/egusphere-egu21-1304
Verlag, kostenfrei, Volltext: https://meetingorganizer.copernicus.org/EGU21/EGU21-1304.html
Volltext
Verfasserangaben:Vivien Zahs, Benjamin Herfort, Julia Kohns, Tahira Ullah, Katharina Anders, Lothar Stempniewski, Alexander Zipf, and Bernhard Höfle

MARC

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