An Efficient and Uncertainty-Aware Decision Support System for Disaster Response Using Aerial Imagery.

Bin, Junchi; Zhang, Ran; Wang, Rui; Cao, Yue; Zheng, Yufeng; Blasch, Erik; Liu, Zheng

Bin, Junchi; Zhang, Ran; Wang, Rui; Cao, Yue; Zheng, Yufeng; Blasch, Erik; Liu, Zheng.

Afiliação

Bin J; School of Engineering, Okanagan Campus, University of British Columbia, Kelowna, BC V1V 1V7, Canada.
Zhang R; School of Engineering, Okanagan Campus, University of British Columbia, Kelowna, BC V1V 1V7, Canada.
Wang R; School of Engineering, Okanagan Campus, University of British Columbia, Kelowna, BC V1V 1V7, Canada.
Cao Y; School of Engineering, Okanagan Campus, University of British Columbia, Kelowna, BC V1V 1V7, Canada.
Zheng Y; Department of Data Science, University of Mississippi Medical Center, Jackson, MS 39216, USA.
Blasch E; MOVEJ Analytics, Dayton, OH 45324, USA.
Liu Z; School of Engineering, Okanagan Campus, University of British Columbia, Kelowna, BC V1V 1V7, Canada.

Sensors (Basel) ; 22(19)2022 Sep 21.

Article em En | MEDLINE | ID: mdl-36236263

Assuntos

Desastres; Método de Monte Carlo; Incerteza

Palavras-chave

aerial imagery; building damage assessment; information fusion; model efficiency; robust operation

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Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Assunto principal: Desastres Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Qualitative_research Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

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