Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil (2022)
- Authors:
- USP affiliated authors: CARVALHO, CARLOS HENRIQUE GROHMANN DE - IEE ; SOARES, LUCAS PEDROSA - IGC
- Unidades: IEE; IGC
- DOI: 10.1109/JSTARS.2022.3161383.
- Subjects: DESLIZAMENTO DE TERRA; GEOPROCESSAMENTO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2022
- Source:
- Título do periódico: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Volume/Número/Paginação/Ano: v. 15, p. 2644-2659, Mar. 2022.
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
XU, Guosen et al. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 15, p. 2644-2659, 2022Tradução . . Disponível em: https://doi.org/10.1109/JSTARS.2022.3161383. Acesso em: 01 jun. 2024. -
APA
Xu, G., Wang, Y., Wang, L., Soares, L. P., & Grohmann, C. H. (2022). Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2644-2659. doi:10.1109/JSTARS.2022.3161383. -
NLM
Xu G, Wang Y, Wang L, Soares LP, Grohmann CH. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022 ; 15 2644-2659.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383. -
Vancouver
Xu G, Wang Y, Wang L, Soares LP, Grohmann CH. Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil [Internet]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022 ; 15 2644-2659.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383. - Landslide detection in the Himalayas using machine learning algorithms and U-Net
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Informações sobre o DOI: 10.1109/JSTARS.2022.3161383. (Fonte: oaDOI API)
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