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@InProceedings{NegriDutrMend:2015:ApMéFu,
               author = "Negri, Rog{\'e}rio Galante and Dutra, Luciano Vieira and Mendes, 
                         Tatiana Sussel Gon{\c{c}}alves",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Aplica{\c{c}}{\~a}o de um m{\'e}todo fundamentado em grafo e 
                         dist{\^a}ncias estoc{\'a}sticas na classifica{\c{c}}{\~a}o 
                         baseada em regi{\~o}es",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3400--3406",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Traditionally, classification of remote sensing images has been 
                         performed using only the spectral pixels'' information through the 
                         so-called Pixel Based Methods. However, there are cases which the 
                         pixel based approach is not able to provide adequate results. An 
                         alternative is the use of Region Based Classification. The region 
                         based classification can be performed in different ways, for 
                         example, by methods based on minimum distance or Support Vector 
                         Machine (SVM). This work investigated the application of Graph 
                         Classification for region based classification. A case study about 
                         the land use and land cover classification on an Amazon region 
                         adopting the SPOT image was conducted. The comparison made between 
                         Graph Classification, SVM and the Minimum Distance show that Graph 
                         Classification achieves better results.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "674",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4BLF",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4BLF",
           targetfile = "p0674.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "29 nov. 2020"
}


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