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@InProceedings{BuemiMejaJacoGamb:2007:ImSAIm,
               author = "Buemi, Mar{\'{\i}}a Elena and Mejail, Marta and Jacobo, Julio 
                         and Gambini, Juliana",
          affiliation = "{Universidad de Buenos Aires-Facultad de Ciencias Exactas y 
                         Naturales-Departamento de Computacion} and {Universidad de Buenos 
                         Aires-Facultad de Ciencias Exactas y Naturales-Departamento de 
                         Computacion} and {Universidad de Buenos Aires-Facultad de Ciencias 
                         Exactas y Naturales-Departamento de Computacion} and {Universidad 
                         de Buenos Aires-Facultad de Ciencias Exactas y 
                         Naturales-Departamento de Computacion}",
                title = "Improvement in SAR Image Classification using Adaptive Stack 
                         Filters",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes 
                         Vieira",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Stack Filter - SAR - Speckle -Classification.",
             abstract = "Stack filters are a special case of non-linear filters. They have 
                         a good performance for filtering images with different types of 
                         noise while preserving edges and details. A stack filter 
                         decomposes an input image into several binary images according to 
                         a set of thresholds. Each binary image is filtered by a Boolean 
                         function. The Boolean function that characterizes an adaptive 
                         stack filter is optimal and is computed from a pair of images 
                         consisting of an ideal noiseless image and its noisy version. In 
                         this work the behavior of adaptive stack filters is evaluated for 
                         the classification of Synthetic Aperture Radar (SAR) images, which 
                         are affected by speckle noise. With this aim it was carried out 
                         experiment in which simulated and real images are generated and 
                         then filtered with a stack filter trained with one of them. The 
                         results of their Maximum Likelihood classification are evaluated 
                         and then are compared with the results of classifying the images 
                         without previous filtering.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "sib_stack_filter.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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