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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-1-2021
https://doi.org/10.5194/isprs-annals-V-1-2021-113-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-V-1-2021-113-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
17 Jun 2021
DEEP LEARNING FOR AUTOMATIC BUILDING DAMAGE ASSESSMENT: APPLICATION IN POST-DISASTER SCENARIOS USING UAV DATA
A. Calantropio
Laboratory of Geomatics for Cultural Heritage (LabG4CH), Department of Architecture and Design (DAD), Polytechnic University of Turin, Viale Pier Andrea Mattioli, 39, 10125 Torino (TO), Italy
F. Chiabrando
Laboratory of Geomatics for Cultural Heritage (LabG4CH), Department of Architecture and Design (DAD), Polytechnic University of Turin, Viale Pier Andrea Mattioli, 39, 10125 Torino (TO), Italy
M. Codastefano
Unmanned Aircraft Systems Team (UAS), IT Preparedness and Emergency Response Branch (TECF), Technology Division (TEC), World Food Programme (WFP), Via Cesare Giulio Viola, 68, 00148 Roma, Italy
E. Bourke
Unmanned Aircraft Systems Team (UAS), IT Preparedness and Emergency Response Branch (TECF), Technology Division (TEC), World Food Programme (WFP), Via Cesare Giulio Viola, 68, 00148 Roma, Italy
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