@InProceedings{BustosFlesFrer:1999:MoStCl,
               author = "Bustos, Oscar H. and Flesia, Ana G. and Frery, Alejandro C.",
                title = "A Monte-Carlo study of classical spectral estimation of the 
                         backscatter in k-distributed images",
            booktitle = "Proceedings...",
                 year = "1999",
               editor = "Stolfi, Jorge and Tozzi, Cl{\'e}sio Luis",
                pages = "337--346",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 12. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Campinas, SP, Brazil, from October 17 
                         to 20.",
             keywords = "backscatter, images, monte-carlo, k-distributed.",
             abstract = "Some estimators for the spectral density of the return in 
                         Synthetic Aperture Radar (SAR) images are studied using Monte 
                         Carlo experiences. The spectral density is an important quantifier 
                         of the texture that, in turn, can be related to biophysical 
                         magnitudes and it can be used to establish the kind of target 
                         being observed. These images are contaminated by a particular kind 
                         of noise, called speckle, that departs from the classical 
                         hypothesis of obeying the Gaussian lay and of entering the signal 
                         in an additive manner requiring, thus, a careful treatment. The 
                         departure from the Gaussian law will be modeled here by means of 
                         the K distribution. This law arises from certain (very realistic) 
                         hypothesis for the relationship between signal and noise. The 
                         empirical observation of structured data is modeled by the use of 
                         spatial correlation. There are two approaches to the problem of 
                         the presence of speckle noise, onde being the use of techniques 
                         for its reduction (usually specially devised filters) and the 
                         other the proposal of methodologies that take its presence into 
                         account. These approaches will be compared here, to the problem of 
                         estimating the spatial correlation structure of the ground truth. 
                         The performance of these estimators will be assessed using Monte 
                         Carlo experiences, since the problem is analytically 
                         intractable.",
  conference-location = "Campinas, SP, Brazil",
      conference-year = "17-20 Oct. 1999",
                  doi = "10.1109/SIBGRA.1999.805743",
                  url = "http://dx.doi.org/10.1109/SIBGRA.1999.805743",
         organisation = "SBC - Brazilian Computer Society and UNICAMP - University of 
                         Campinas",
                  ibi = "83LX3pFwXQZ4BFjAq/jiH9n",
                  url = "http://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jiH9n",
           targetfile = "034-60622050.pdf",
        urlaccessdate = "2024, May 02"
}