@InProceedings{CostaFoKoSiBeSo:2017:SeOpRe,
               author = "Costa, Wanderson S. and Fonseca, Leila M. G. and Korting, Thales 
                         S. and Sim{\~o}es, Margareth G. and Bendini, Hugo N. and Souza, 
                         Ricardo Cartaxo M.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Empresa Brasileira de Pesquisa 
                         Agropecu{\'a}ria (EMBRAPA)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Segmentation of optical remote sensing images for detecting 
                         homogeneous regions in space and time",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
                pages = "40--51",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "With the amount of multitemporal and multiresolution images grow- 
                         ing exponentially, the number of image segmentation applications 
                         is recently increasing and, simultaneously, new challenges arise. 
                         Hence, there is a need to explore new segmentation concepts and 
                         techniques that make use of the tempo- ral dimension. This paper 
                         describes a spatio-temporal segmentation that adapts the 
                         traditional region growing technique to detect homogeneous regions 
                         in space and time in optical remote sensing images. Tests were 
                         conducted by consider- ing the Dynamic Time Warping measure as the 
                         homogeneity criterion. Study cases on high temporal resolution for 
                         sequences of MODIS and Landsat-8 OLI vegetation indices products 
                         provided satisfactory outputs and demonstrated the potential of 
                         the spatio-temporal segmentation method.",
  conference-location = "Salvador",
      conference-year = "04-06 dez. 2017",
                 issn = "2179-4820",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3Q5DKPP",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DKPP",
           targetfile = "5costa_souza.pdf",
        urlaccessdate = "20 maio 2024"
}