Filtros : "TRAINA, AGMA JUCI MACHADO" "IEEE Transactions on Geoscience and Remote Sensing" "Inglês" Removidos: "AUH" "FBA" Limpar

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  • Source: IEEE Transactions on Geoscience and Remote Sensing. Unidade: ICMC

    Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

    Acesso à fonteDOIHow to cite
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    • ABNT

      ROMANI, Luciana Alvim S et al. A new time series mining approach applied to multitemporal remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, v. 51, n. ja 2013, p. 140-150, 2013Tradução . . Disponível em: https://doi.org/10.1109/TGRS.2012.2199501. Acesso em: 27 jun. 2024.
    • APA

      Romani, L. A. S., Avila, A. M. H. de, Chino, D. Y. T., Zullo Junior, J., Chbeir, R., Traina Junior, C., & Traina, A. J. M. (2013). A new time series mining approach applied to multitemporal remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 51( ja 2013), 140-150. doi:10.1109/TGRS.2012.2199501
    • NLM

      Romani LAS, Avila AMH de, Chino DYT, Zullo Junior J, Chbeir R, Traina Junior C, Traina AJM. A new time series mining approach applied to multitemporal remote sensing imagery [Internet]. IEEE Transactions on Geoscience and Remote Sensing. 2013 ; 51( ja 2013): 140-150.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1109/TGRS.2012.2199501
    • Vancouver

      Romani LAS, Avila AMH de, Chino DYT, Zullo Junior J, Chbeir R, Traina Junior C, Traina AJM. A new time series mining approach applied to multitemporal remote sensing imagery [Internet]. IEEE Transactions on Geoscience and Remote Sensing. 2013 ; 51( ja 2013): 140-150.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1109/TGRS.2012.2199501

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