@InProceedings{FreryCribSouz:2002:MiFeAn,
               author = "Frery, Alejandro C. and Cribari-Neto, Francisco and Souza, Marcelo 
                         de O.",
                title = "Minute feature analysis in speckled imagery",
            booktitle = "Proceedings...",
                 year = "2002",
               editor = "Gon{\c{c}}alves, Luiz Marcos Garcia and Musse, Soraia Raupp and 
                         Comba, Jo{\~a}o Luiz Dihl and Giraldi, Gilson and Dreux, 
                         Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 15. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Fortaleza, CE, Brazil, from October 7 
                         to 10.",
             abstract = "This paper tackles the problem of estimating the parameters of 
                         relevant distributions that describe speckled imagery. Speckle 
                         noise appears in data obtained with coherent illumination, as is 
                         the case of sonar, laser, ultrasound-B and synthetic aperture 
                         radar images. This noise is non-Gaussian and non-additive and, 
                         therefore, classical techniques of processing and analysis may 
                         fail. A universal parametric statistical model has been proposed 
                         for such data, and numerical issues arise when estimating its 
                         parameters. In particular, the usual techniques for optimization 
                         and for solving systems of non-linear equations often fail to 
                         converge and/or to produce acceptable results, specially when 
                         dealing with small samples. An alternated method is proposed and 
                         assessed, and it is shown to produce sensible results. As an 
                         application, real and simulated data are analyzed. We show that 
                         the discrimination of minute features in synthetic aperture radar 
                         images can be performed using the proposed procedure.",
  conference-location = "Fortaleza, CE, Brazil",
      conference-year = "10-10 Oct. 2002",
                  doi = "10.1109/SIBGRA.2002.1167165",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2002.1167165",
             language = "en",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/vRSyz",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/vRSyz",
           targetfile = "77.pdf",
        urlaccessdate = "2024, May 02"
}