Cover Image

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

Show other versions (3)
Saved in:
Bibliographic Details
Main Authors: Zahs, Vivien (Author) , Herfort, Benjamin (Author) , Eberl, Julia (Author) , Ullah, Tahira (Author) , Anders, Katharina (Author) , Stempniewski, Lothar (Author) , Zipf, Alexander (Author) , Höfle, Bernhard (Author)
Format: Chapter/Article Conference Paper
Language:English
Published: 2021
In: Abstracts & presentations
Year: 2021, Pages: 1-2
DOI:10.5194/egusphere-egu21-1304
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.5194/egusphere-egu21-1304
Verlag, kostenfrei, Volltext: https://meetingorganizer.copernicus.org/EGU21/EGU21-1304.html
Get full text
Author Notes:Vivien Zahs, Benjamin Herfort, Julia Kohns, Tahira Ullah, Katharina Anders, Lothar Stempniewski, Alexander Zipf, and Bernhard Höfle
Description
Item Description:Gesehen am 18.04.2024
Physical Description:Online Resource
DOI:10.5194/egusphere-egu21-1304

Similar Items