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@InProceedings{TorresBecFreSanSan:2017:CoOWWO,
               author = "Torres, Leonardo and Becceneri, Jos{\'e} Carlos and Freitas, 
                         Corina da Costa and Sant'Anna, Sidnei Jo{\~a}o Siqueira and 
                         Sandri, Sandra",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Comparing OWA and WOWA filters in mean SAR images",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7770--7776",
         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 = "We compare WM, OWA and WOWA filters in mean SAR images, 
                         respectively based on the parametrized families of operators WM 
                         (Weighted Means), OWA (Ordered Weighted Average) and WOWA 
                         (Weighted OWA). The WM and OWA operators use a single vector to 
                         weight an input data vector: one whose weights correspond to the 
                         same positions in the input, and another that considers the 
                         ordered positions of the input, respectively. WOWA operators, 
                         however, use both of these weight vectors.We present an 
                         application on SAR imagery, using simulated images derived from 
                         from a real-world scene and 5x5 windows, in which we make use of a 
                         Genetic Algorithm to tune the parameters of these families of 
                         operators.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60154",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMGD2",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSMGD2",
           targetfile = "60154.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "26 nov. 2020"
}


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