@InProceedings{OliveiraPaFeCaBuRoMa:2018:NePaAl,
               author = "Oliveira, Savio S. T. de and Pascoal, Luiz M. L. and Ferreira, 
                         Laerte and Cardoso, Marcelo de C. and Bueno, Elivelton and 
                         Rodrigues, Vagner J. S. and Martins, Wellington S.",
          affiliation = "{Universidade Federal de Goi{\'a}s (UFG)} and {Universidade 
                         Federal de Goi{\'a}s (UFG)} and {Universidade Federal de 
                         Goi{\'a}s (UFG)} and {Universidade Federal de Goi{\'a}s (UFG)} 
                         and {Universidade Federal de Goi{\'a}s (UFG)} and {Universidade 
                         Federal de Goi{\'a}s (UFG)} and {Universidade Federal de 
                         Goi{\'a}s (UFG)}",
                title = "SP-TWDTW: a new parallel algorithm for spatio-temporal analysis of 
                         remote sensing images",
                 year = "2018",
               editor = "Vinhas, L{\'u}bia (INPE) and Campelo, Claudio (UFCG)",
                pages = "46--57",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 19. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "In the class of computationally complex problems, the time series 
                         analysis is one of those that has high demand for computational 
                         power. The Time-Weighted Dynamic Time Warping (TWDTW) algorithm 
                         stands out as one of the best solution found in the literature in 
                         this field, but its time complexity of O(n2) makes it unfeasible 
                         for large data sets. To overcome this limitation, this work 
                         proposes a parallel algorithm, named SP-TWDTW (Spatial Parallel 
                         TWDTW), that allows the analysis of large scale time series using 
                         Manycore architectures. The SP-TWDTW considers the temporal axis 
                         and the spatial au- tocorrelation to determine the land use 
                         mapping in a given region. The results show that the SP-TWDTW 
                         algorithm is a promising solution with response time up to 11 
                         times lower.",
  conference-location = "Campina Grande",
      conference-year = "05-07 dez. 2018",
                 issn = "2179-4847",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3SEUPLL",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3SEUPLL",
           targetfile = "p5.pdf",
        urlaccessdate = "28 abr. 2024"
}