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

Titel:: 3D point cloud-based assessment of detailed building damage through a combination of machine learning, crowdsourcing and earthquake engineering
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Zahs, V.; Herfort, B.; Kohns, J.; Ullah, T.; Anders, K.; Stempniewski, L.; Zipf, A.; Höfle, B.
Kongress- / Buchtitel:: EGU General Assembly 2021
Band / Teilband / Volume:: EGU21
Jahr:: 2021
Seiten:: 1--2
WWW:: https://doi.org/10.5194/egusphere-egu21-1304
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