@InProceedings{PennaMasc:2015:AnInSA,
               author = "Penna, Pedro Augusto de Alag{\~a}o and Mascarenhas, Nelson 
                         Delfino d'{\'A}vila",
          affiliation = "{UFSCar - Universidade Federal de S{\~a}o Carlos} and {UFSCar - 
                         Universidade Federal de S{\~a}o Carlos}",
                title = "Analysis of Intensity SAR Images Despeckling Techniques with Two 
                         New Methods Based On Stochastic Distances",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Segundo, Maur{\'{\i}}cio Pamplona and Faria, Fabio Augusto",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Intensity SAR, Speckle, Despeckling, Stochastic Distances, NLM 
                         Filter, Inverse Gamma.",
             abstract = "The search for new methods to denoise images while maintaining the 
                         original resolution, structures and details is a constant task in 
                         the image processing field. The additive white Gaussian noise 
                         (AWGN) is the most studied, but it is not the only one which 
                         interferes in the analysis and interpretation of images. The 
                         speckle, a multiplicative noise, present in synthetic aperture 
                         radar (SAR) images, is an example of noise that can not be removed 
                         by an AWGN filter. Therefore, some researchers have been working 
                         to expand an AWGN filter to deal with multiplicative noise. This 
                         paper \footnote{This article is related to a M.Sc. dissertation.} 
                         discusses and compares two new methods based on non-local means 
                         filter (NLM) and the stochastic distances with other filters 
                         proposed in the literature. The first method takes into account 
                         the speckle and backscatter to estimate the parameters necessary 
                         to compute the stochastic distances on NLM. The second method uses 
                         the inverse Gamma distribution which facilitates the parameters 
                         estimation.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3JUJ62B",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JUJ62B",
           targetfile = "analysis.pdf",
        urlaccessdate = "2024, Apr. 27"
}