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Artigo de periodico
Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework (2023)
Garcia, Guilherme Pereira Bento ; Soares, Lucas ; Espadoto, Mateus ; Grohmann, Carlos Henrique
Source: International Journal of Remote Sensing. Unidades: IEE, IGC, IME
Subjects: DESLIZAMENTO DE TERRA, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Guilherme Pereira Bento et al. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, n. , p. 2168-2195, 2023Tradução . . Disponível em: https://doi.org/10.1080/01431161.2023.2197130. Acesso em: 15 out. 2024.
APA
Garcia, G. P. B., Soares, L., Espadoto, M., & Grohmann, C. H. (2023). Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, ( ), 2168-2195. doi:10.1080/01431161.2023.2197130
NLM
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
Vancouver
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 out. 15 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
Artigo de periodico
Landslide detection in the Himalayas using machine learning algorithms and U-Net (2022)
Meena, Sansar Raj ; Soares, Lucas Pedrosa ; Grohmann, Carlos Henrique ; Van Westen, Cees ; Bhuyan, Kushanav ; Singh, Ramesh P.; Floris, Mario; Catani, Filippo
Source: Landslides. Unidades: IEE, IGC
Assunto: DESLIZAMENTO DE TERRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEENA, Sansar Raj et al. Landslide detection in the Himalayas using machine learning algorithms and U-Net. Landslides, v. 19, p. 1209–1229, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10346-022-01861-3. Acesso em: 15 out. 2024.
APA
Meena, S. R., Soares, L. P., Grohmann, C. H., Van Westen, C., Bhuyan, K., Singh, R. P., et al. (2022). Landslide detection in the Himalayas using machine learning algorithms and U-Net. Landslides, 19, 1209–1229. doi:10.1007/s10346-022-01861-3
NLM
Meena SR, Soares LP, Grohmann CH, Van Westen C, Bhuyan K, Singh RP, Floris M, Catani F. Landslide detection in the Himalayas using machine learning algorithms and U-Net [Internet]. Landslides. 2022 ; 19 1209–1229.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10346-022-01861-3
Vancouver
Meena SR, Soares LP, Grohmann CH, Van Westen C, Bhuyan K, Singh RP, Floris M, Catani F. Landslide detection in the Himalayas using machine learning algorithms and U-Net [Internet]. Landslides. 2022 ; 19 1209–1229.[citado 2024 out. 15 ] Available from: https://doi.org/10.1007/s10346-022-01861-3
Artigo de periodico
Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: an application to Brazil (2022)
Xu, Guosen ; Wang, Yi ; Wang, Lizhe ; Soares, Lucas Pedrosa ; Grohmann, Carlos Henrique
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Unidades: IEE, IGC
Subjects: DESLIZAMENTO DE TERRA, GEOPROCESSAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 out. 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 out. 15 ] 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 out. 15 ] Available from: https://doi.org/10.1109/JSTARS.2022.3161383.
Artigo de periodico
Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil (2022)
Soares, Lucas Pedrosa ; Dias, Helen Cristina ; Garcia, Guilherme Pereira Bento ; Grohmann, Carlos Henrique
Source: Remote Sensing. Unidades: IEE, IGC
Assunto: DESLIZAMENTO DE TERRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOARES, Lucas Pedrosa et al. Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil. Remote Sensing, v. 14, n. 9, p. e2237/1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/rs14092237. Acesso em: 15 out. 2024.
APA
Soares, L. P., Dias, H. C., Garcia, G. P. B., & Grohmann, C. H. (2022). Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil. Remote Sensing, 14( 9), e2237/1-17. doi:10.3390/rs14092237
NLM
Soares LP, Dias HC, Garcia GPB, Grohmann CH. Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil [Internet]. Remote Sensing. 2022 ; 14( 9):e2237/1-17.[citado 2024 out. 15 ] Available from: https://doi.org/10.3390/rs14092237
Vancouver
Soares LP, Dias HC, Garcia GPB, Grohmann CH. Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil [Internet]. Remote Sensing. 2022 ; 14( 9):e2237/1-17.[citado 2024 out. 15 ] Available from: https://doi.org/10.3390/rs14092237

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