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Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data
Flooding is one of the leading threats of natural disasters to human life and property, especially in densely populated urban areas. Rapid and precise extraction of the flooded areas is key to supporting emergency-response planning and providing damage assessment in both spatial and temporal measure...
Guardat en:
| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6479537/ https://ncbi.nlm.nih.gov/pubmed/30934695 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19071486 |
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