@InProceedings{SantiagoSilvNogu:2011:UtEqDi,
               author = "Santiago, Viviane Sampaio and Silva, Erivaldo Ant{\^o}nio da and 
                         Nogueira, Jos{\'e} Roberto",
          affiliation = "{Universidade Estadual Paulista - UNESP} and {Universidade 
                         Estadual Paulista - UNESP} and {Universidade Estadual Paulista - 
                         UNESP}",
                title = "Utiliza{\c{c}}{\~a}o de Equa{\c{c}}{\~o}es Diferenciais 
                         Parciais para detec{\c{c}}{\~a}o de rodovias em imagens de alta 
                         resolu{\c{c}}{\~a}o",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "7875--7879",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, image processing, partial differencial equations, 
                         edge detection, sensoriamento remoto, processamento de imagens, 
                         equa{\c{c}}{\~o}es diferenciais parciais, detec{\c{c}}{\~a}o 
                         de bordas.",
             abstract = "The purpose of this study is to perform segmentation and noise 
                         removal in digital images of remote sensing. These images have 
                         become increasingly part of everyday life in order, which appear 
                         as a strategic tool for the future. The scanned images are used in 
                         weather forecasting, forest surveys, oceanographic, urban, 
                         agricultural and others. As a direct consequence of technological 
                         advances started in the last two decades, the development of 
                         theories aimed at a structural analysis of images from a 
                         computational point of view using as a tool essentially 
                         mathematical foundations. In this sense, the use of Partial 
                         Differential Equations in image processing has grown significantly 
                         in recent years. The basic idea is to modify a given image, curve 
                         or surface with a partial differential equation and obtain the 
                         expected results as the solution of this equation. In other words, 
                         the use of Partial Differential Equations in image processing, 
                         specifically in segmentation and elimination of noise, not only 
                         allows the use of good computational algorithms as well as the use 
                         of important theoretical results like existence and uniqueness of 
                         solution. The model used in this study was to Barcelos and Chen 
                         and numerical implementation of the model was performed with 
                         MATLAB. The idea of this study is purify the images and keep their 
                         main characteristics such as texture and preservation of edges.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A3NUD5",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A3NUD5",
           targetfile = "p0696.pdf",
                 type = "Processamento de Imagens",
        urlaccessdate = "09 maio 2024"
}