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@InProceedings{ReisSantDutr:2017:ClCoTe,
               author = "Reis, Mariane Souza and Sant'Anna, Sidnei Jo{\~a}o Siqueira and 
                         Dutra, Luciano Vieira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Classifica{\c{c}}{\~a}o de cobertura da terra utilizando dados 
                         {\'o}ticos e de radar de abertura sint{\'e}tica em diferentes 
                         n{\'{\i}}veis de detalhamento",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5864--5871",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The use of Synthetic Aperture Radar (SAR) data, sole or 
                         fused/combined to optical data, is interesting in regions like the 
                         Brazilian Amazon, in which cloud cover is constant. Many works has 
                         been done in the region, comparing classifications obtained from 
                         SAR, optical or fused data. In general, optical data has shown 
                         better results than SAR data. Fused data has either presented 
                         better, comparable or worse results. This paper presents land 
                         cover classifications for a region in low Tapaj{\'o}s River, in 
                         the Brazilian Amazon, using optical, SAR and fused data, using 
                         three legends, with different level of detail (number of classes). 
                         It was observed that the lower is the number of classes, the 
                         higher is the accuracy of the classification. Although optical 
                         results were better for all legends level, results obtained from 
                         SAR data is comparable to those when using a small number of 
                         classes. In addition, some classes where better classified using 
                         specific type of data.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59337",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBRH",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSMBRH",
           targetfile = "59337.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "16 abr. 2021"
}


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