Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment

Automated classification of building damage in remote sensing images enables the rapid and spatially extensive assessment of the impact of natural hazards, thus speeding up emergency response efforts. Convolutional neural networks (CNNs) can reach good performance on such a task in experimental sett...

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Detalles Bibliográficos

Principais autores:	Tinka Valentijn, Jacopo Margutti, Marc van den Homberg, Jorma Laaksonen
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2020-09-01
Series:	Remote Sensing
Assuntos:	damage assessment building damage CNN transfer learning satellite
Acceso en liña:	https://www.mdpi.com/2072-4292/12/17/2839
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