DEEP LEARNING FOR AUTOMATIC BUILDING DAMAGE ASSESSMENT: APPLICATION IN POST-DISASTER SCENARIOS USING UAV DATA
A. Calantropio,F. Chiabrando,M. Codastefano,and E. Bourke
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
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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