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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Document information

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Title:

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

Contributors:

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

Publication date:

2021-04-30

DOI:

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

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

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

Classification:

DDC: 690

Licence:

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

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