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@InProceedings{FrerySant:1993:NoRoFi,
               author = "Frery, Alejandro C{\'e}sar and Sant’Anna, Sidnei J. S.",
          affiliation = "{Divis{\~a}o de Processamento de Imagens do Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Divis{\~a}o de Processamento de 
                         Imagens do Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Non-adaptive robust filters for speckle noise reduction",
            booktitle = "Anais...",
                 year = "1993",
               editor = "Figueiredo, Luiz Henrique de and Gomes, Jonas de Miranda",
                pages = "165--174",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 6. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "estimation, filtering, maximum likelihood, multiplicative models, 
                         order statistics, robustness, speckle, statistics, synthetic 
                         aperture radar.",
             abstract = "After briefly reviewing some classical filters for speckle 
                         removal, five filters with characteristics of robustness, suitable 
                         for speckle noise reduction, are derived and implemented. These 
                         filters are the ones based on the trimmed maximum likelihood and 
                         moments estimators, the ones based on the median, on the 
                         inter-quartile range and on the median absolute deviation. 
                         Assuming that observations within a synthetic aperture radar image 
                         are outcomes of independent Rayleigh random variables, these 
                         filters exhibit a good performance from both the signal-to-noise 
                         reduction and from the edge preserving criteria. The problem of 
                         filtering in an image is posed as an estimation problem.",
  conference-location = "Recife",
      conference-year = "19 - 22 out. 1993",
                 isbn = "978-85-7669-271-3",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3D7KAFH",
                  url = "http://urlib.net/rep/8JMKD3MGPBW34M/3D7KAFH",
           targetfile = "20 Non adaptive robust filters for speckle noise reduction.pdf",
                 type = "Processamento de Imagens II",
               volume = "1",
        urlaccessdate = "2020, June 06"
}


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