@InProceedings{RibeiroSoarViei:2005:AvMéCl,
               author = "Ribeiro, Regiane Maria Paes and Soares, Vicente Paulo and Vieira, 
                         Carlos Ant{\^o}nio Oliveira",
          affiliation = "{Ag{\^e}ncia Nacional de {\'A}guas - ANA/NGI} and {Universidade 
                         Federal de Vi{\c{c}}osa - UFV} and {Universidade Federal de 
                         Vi{\c{c}}osa - UFV}",
                title = "Avalia{\c{c}}{\~a}o de m{\'e}todos de classifica{\c{c}}{\~a}o 
                         de imagens Ikonos para o mapeamento da cobertura terrestre",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "4277--4284",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, classification, sensoriamento remoto, 
                         classifica{\c{c}}{\~a}o, IKONOS.",
             abstract = "This work evaluated the methods of classification of IKONOS II 
                         imagery for land cover mapping. The algorithms Minimal Distance, 
                         Maximum Likelihood and Artificial Neural Networks 
                         (backpropagation) were used to classify a satellite IKONOS II 
                         image measuring 4 m of spacial resolution. A pixel based and a 
                         region- based classification were performed for each algorithm, 
                         generating six methods : Minimal Distance per pixel, Minimal 
                         Distance per regions, Maximum Likelihood per pixel, Maximum 
                         Likelihood per regions, Artificial Neural Nets (backpropagation) 
                         per pixel, and Artificial Neural Nets (backpropagation) per 
                         regions, which presented Kappa index acceptance levels equal to 
                         reasonable, reasonable, reasonable, excellent, reasonable and 
                         excellent, respectively.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.21.17.32",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.21.17.32",
           targetfile = "4277.pdf",
                 type = "Processamento de Imagens",
        urlaccessdate = "15 jun. 2024"
}