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Filtros : "Journal of Applied Remote Sensing" Removido: "ESALQ" Limpar

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  • Artigo de periodico

    Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow (2024)

    Hamidishad, Nayereh ; César Júnior, Roberto Marcondes

    Source: Journal of Applied Remote Sensing. Unidades: IME, EP

    Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RESERVATÓRIOS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      HAMIDISHAD, Nayereh e CÉSAR JÚNIOR, Roberto Marcondes. Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow. Journal of Applied Remote Sensing, v. 18, n. artigo 018502, p. 1-20, 2024Tradução . . Disponível em: https://doi.org/10.1117/1.JRS.18.018502. Acesso em: 05 dez. 2025.

    • APA

      Hamidishad, N., & César Júnior, R. M. (2024). Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow. Journal of Applied Remote Sensing, 18( artigo 018502), 1-20. doi:10.1117/1.JRS.18.018502

    • NLM

      Hamidishad N, César Júnior RM. Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow [Internet]. Journal of Applied Remote Sensing. 2024 ; 18( artigo 018502): 1-20.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.18.018502

    • Vancouver

      Hamidishad N, César Júnior RM. Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow [Internet]. Journal of Applied Remote Sensing. 2024 ; 18( artigo 018502): 1-20.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.18.018502

  • Artigo de periodico

    Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery (2023)

    Carvalho, Breylla Campos; Figueira, Raquel Medeiros Andrade; Fortunato, Humberto F

    Source: Journal of Applied Remote Sensing. Unidade: CEBIMAR

    Subjects: SENSORIAMENTO REMOTO, DISCOS DE SECCHI

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      CARVALHO, Breylla Campos e FIGUEIRA, Raquel Medeiros Andrade e FORTUNATO, Humberto F. Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery. Journal of Applied Remote Sensing, v. 17, n. 1, 2023Tradução . . Disponível em: https://doi.org/10.1117/1.JRS.17.014512. Acesso em: 05 dez. 2025.

    • APA

      Carvalho, B. C., Figueira, R. M. A., & Fortunato, H. F. (2023). Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery. Journal of Applied Remote Sensing, 17( 1). doi:10.1117/1.JRS.17.014512

    • NLM

      Carvalho BC, Figueira RMA, Fortunato HF. Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery [Internet]. Journal of Applied Remote Sensing. 2023 ; 17( 1):[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.17.014512

    • Vancouver

      Carvalho BC, Figueira RMA, Fortunato HF. Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery [Internet]. Journal of Applied Remote Sensing. 2023 ; 17( 1):[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.17.014512
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