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

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

Zahs, Vivien / Herfort, Benjamin / Kohns, Julia / Ullah, Tahira / Anders, Katharina / Stempniewski, Lothar / Zipf, Alexander / Höfle, Bernhard

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

Zahs, Vivien / Herfort, Benjamin / Kohns, Julia / Ullah, Tahira / Anders, Katharina / Stempniewski, Lothar / Zipf, Alexander / Höfle, Bernhard

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

Zahs, Vivien / Herfort, Benjamin / Kohns, Julia / Ullah, Tahira / Anders, Katharina / Stempniewski, Lothar / Zipf, Alexander / Höfle, Bernhard

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Titel:

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

Beteiligte:

Zahs, Vivien (Autor:in) / Herfort, Benjamin (Autor:in) / Kohns, Julia (Autor:in) / Ullah, Tahira (Autor:in) / Anders, Katharina (Autor:in) / Stempniewski, Lothar (Autor:in) / Zipf, Alexander (Autor:in) / Höfle, Bernhard (Autor:in)

Erscheinungsdatum:

30.04.2021

DOI:

https://doi.org/10.5445/IR/1000132253

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

ddc:690 , Buildings , info:eu-repo/classification/ddc/690

Klassifikation:

DDC: 690

Lizenzbestimmungen:

https://creativecommons.org/licenses/by/4.0/deed.de

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