Garcia, Guilherme Pereira Bento 
; Soares, Lucas ; Espadoto, Mateus ; Grohmann, Carlos Henrique
Fonte: International Journal of Remote Sensing. Unidades: IEE, IGC, IME
Assuntos: DESLIZAMENTO DE TERRA, SENSORIAMENTO REMOTO
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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: 24 jul. 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:10.1080/01431161.2023.2197130NLM
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 jul. 24 ] Available from: https://doi.org/10.1080/01431161.2023.2197130Vancouver
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 jul. 24 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
