@InProceedings{BarbosaSilvZimbCamp:2011:CoMéCl,
               author = "Barbosa, Ana Paula and Silva, Alessandra Fagioli da and Zimback, 
                         C{\'e}lia Regina Lopes and Campos, S{\'e}rgio",
          affiliation = "{Universidade Estadual Paulista - UNESP/FCA} and {Universidade 
                         Estadual Paulista - UNESP/FCA} and {Universidade Estadual Paulista 
                         - UNESP/FCA} and {Universidade Estadual Paulista - UNESP/FCA}",
                title = "Compara{\c{c}}{\~a}o de m{\'e}todos de 
                         classifica{\c{c}}{\~a}o de imagens, visando o gerenciamento de 
                         {\'a}reas citr{\'{\i}}colas",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "7286--7292",
         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 = "Fuzzy, LANDSAT satellite, Images classifiers, Fuzzy, sat{\'e}lite 
                         LANDSAT, classificadores de imagens.",
             abstract = "This study aimed to compare the efficiency of methods of 
                         classification of orbital images in areas cultivated with citrus, 
                         using GIS techniques to the planning and management located in the 
                         areas of citrus production. The study area is located in Bariri 
                         City, S{\~a}o Paulo State. It noted the evaluation results of the 
                         classification accuracy were satisfactory, which the CLUSTER 
                         classification had excellent quality (0.9276) and very good 
                         (0.6485), the MAXVER algorithm had excellent ratings, with kappa 
                         0.8338 and 0.8818, and the Fuzzy classification submitted a rating 
                         between very good (0.7260) and good (0.5235) for 2003 and 2007, 
                         respectively. The methods used in the discrimination of areas 
                         cultivated with citrus showed different efficiencies in the images 
                         classification. In general, the classifications of 2003 images 
                         showed the best performance than 2007 images scores, as they were 
                         less influenced by the reflectance of other classes.",
  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/3A647KP",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A647KP",
           targetfile = "p0691.pdf",
                 type = "Processamento de Imagens",
        urlaccessdate = "08 maio 2024"
}