@InProceedings{SilvaSant:2009:AnImCB,
               author = "Silva, Cec{\'{\i}}lia Cordeiro da and Santos, Wellington 
                         Pinheiro dos",
          affiliation = "{Universidade Federal de Pernambuco / PE} and {Universidade de 
                         Pernambuco / PE}",
                title = "An{\'a}lise de Imagens CBERS da Bacia do Rio S{\~a}o Francisco 
                         utilizando Mapas Auto-Organizados de Kohonen e Classificadores 
                         K-M{\'e}dias e Fuzzy C-M{\'e}dias",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "2209--2216",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "CBERS image, sensoriamento remoto, processamento de imagens, 
                         imagens CBERS.",
             abstract = "To perform supervised classification is highly necessary to know 
                         how many and what classes previously exist on under-analysis 
                         images. However, a classification approach based on non-supervised 
                         classifiers could furnish more interesting results when we are 
                         interested in detecting singularities expressed by new classes not 
                         expected by the specialists. The detection of singularities by 
                         non-supervised classifiers could be very useful in environmental 
                         applications. In this work we show that it is possible to use 
                         non-supervised classifiers based on self-organized maps and 
                         clustering methods to extract information of interest from images 
                         obtained by IRMSS sensor of CBERS-2 imaging system. The imaged 
                         area studied in this work approaches the city of Petrolina, 
                         Pernambuco, and River S{\~a}o Francisco.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/10.15.20.09",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/10.15.20.09",
           targetfile = "2209-2216.pdf",
                 type = "CBERS: Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "16 jun. 2024"
}