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@InProceedings{ReisPantSantDutr:2015:ClCoTe,
               author = "Reis, Mariane Souza and Pantale{\~a}o, Eliana and Sant'Anna, 
                         Sidnei Jo{\~a}o Siqueira and Dutra, Luciano Vieira",
          affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Classifica{\c{c}}{\~a}o de cobertura da terra utilizando dados 
                         {\'o}ticos e de radares de abertura sint{\'e}tica",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4612--4619",
         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 = "The availability of optical data is subject to weather conditions 
                         and lighting of the scene. Images from Synthetic Aperture Radar 
                         (SAR) can be obtained almost independently from weather 
                         conditions, what renders this data a strong candidate to be used 
                         in cover classification studies. Also, since these two different 
                         data are complementary, their combination can improve the results 
                         obtained with each separately. This work compares classification 
                         results from optical data, SAR data and optical-SAR fusion data 
                         and evaluates their performance for land cover identification. The 
                         study area is located in Belterra, state of Par{\'a}, in the 
                         Legal Amazon region. Different sets of data were used, including 
                         the original data and other texture attributes extracted from 
                         them. The aim of the study is to evaluate the use of optical, SAR 
                         data and the fusion of both for the assessment of the 
                         classifications and also the sensibility of the results to the 
                         variations induced by the selection of the training data. Results 
                         show that the use of SAR data together with optical data does not 
                         improve classification results when compared to the use of only 
                         optical data and the use of texture attributes of optical data may 
                         be interesting for only some cover classes. In the absence of 
                         optical data, texture attributes derived from filtrated SAR data 
                         may be used instead, with less accurate results in general, 
                         although the classification of fallow agriculture areas is 
                         improved in comparison to that obtained from optical data.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "902",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4D2H",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4D2H",
           targetfile = "p0902.pdf",
                 type = "Sensoriamento remoto de microondas",
        urlaccessdate = "28 nov. 2020"
}


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