A river flooding detection system based on deep learning and computer vision (2022)
- Authors:
- USP affiliated authors: NONATO, LUIS GUSTAVO - ICMC ; UEYAMA, JO - ICMC ; FERNANDES JUNIOR, FRANCISCO ERIVALDO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s11042-022-12813-3
- Subjects: VISÃO COMPUTACIONAL; ENCHENTES URBANAS; SEMÂNTICA
- Keywords: River Flooding Detection; Semantic Segmentation; Deep Learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Multimedia Tools and Applications
- ISSN: 1380-7501
- Volume/Número/Paginação/Ano: v. 81, p. 40231-40251, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FERNANDES JUNIOR, Francisco Erivaldo e NONATO, Luis Gustavo e UEYAMA, Jó. A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, v. 81, p. 40231-40251, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12813-3. Acesso em: 16 maio 2024. -
APA
Fernandes Junior, F. E., Nonato, L. G., & Ueyama, J. (2022). A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, 81, 40231-40251. doi:10.1007/s11042-022-12813-3 -
NLM
Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2024 maio 16 ] Available from: https://doi.org/10.1007/s11042-022-12813-3 -
Vancouver
Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2024 maio 16 ] Available from: https://doi.org/10.1007/s11042-022-12813-3 - Using digital image processing to estimate the depth of urban streams
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Informações sobre o DOI: 10.1007/s11042-022-12813-3 (Fonte: oaDOI API)
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