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@InProceedings{GenovezFreSanBenLor:2015:OiSlDe,
               author = "Genovez, Patr{\'{\i}}cia Carneiro and Freitas, Corina da Costa 
                         and Sant'Anna, Sidnei Jo{\~a}o Siqueira and Bentz, Cristina and 
                         Lorenzzetti, Jo{\~a}o Ant{\^o}nio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Petrobr{\'a}s Research Center} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Oil slicks detection using a polarimetric region classifier",
            booktitle = "Proceedings...",
                 year = "2015",
         organization = "IEEE International Geoscience and Remote Sensing Symposium 
                         (IGARSS)",
             keywords = "Synthetic Aperture Radar (SAR), Polarimetry, Region Based 
                         Classification, Stochastic Distances, Oil Slicks.",
             abstract = "A new region based classifier for polarimetric synthetic aperture 
                         radar data (PolSAR) was tested to evaluate its potential to 
                         discriminate different types of oil slicks at sea surface. This 
                         classifier uses a supervised approach to compare stochastic 
                         distances between complex Wishart distributions and hypothesis 
                         tests to associate confidence levels to the classification 
                         results. The preliminary results using the Battacharyya distance 
                         were promising, returning an overall accuracy of 90.61% at a 
                         significance level of 5%. Future works may compare the performance 
                         of different stochastic distances, together with the insertion of 
                         polarimetric features to improve the oil slicks classification.",
  conference-location = "Milan, Italy",
      conference-year = "23-31 July",
             language = "en",
        urlaccessdate = "28 nov. 2020"
}


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