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...

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Detalles Bibliográficos
Autores principales: Gebrehiwot, Asmamaw, Hashemi-Beni, Leila, Thompson, Gary, Kordjamshidi, Parisa, Langan, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479537/
https://www.ncbi.nlm.nih.gov/pubmed/30934695
http://dx.doi.org/10.3390/s19071486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479537/
https://www.ncbi.nlm.nih.gov/pubmed/30934695
http://dx.doi.org/10.3390/s19071486

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