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Classification of Building Damage Using a Novel Convolutional Neural Network Based on Post-Disaster Aerial Images
The accurate and timely identification of the degree of building damage is critical for disaster emergency response and loss assessment. Although many methods have been proposed, most of them divide damaged buildings into two categories—intact and damaged—which is insufficient to meet practical need...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371387/ https://www.ncbi.nlm.nih.gov/pubmed/35957476 http://dx.doi.org/10.3390/s22155920 |