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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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2020-09-01
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| Serie: | Remote Sensing |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2072-4292/12/17/2839 |
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