@InProceedings{TrevisanBispMaia:2008:AnDiTé,
               author = "Trevisan, Giselle Vanessa and Bispo, Polyanna 
                         Concei{\c{c}}{\~a}o and Maia, Andr{\'e} L. S.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise de diferentes t{\'e}cnicas de 
                         classifica{\c{c}}{\~a}o digital no mapeamento do uso e cobertura 
                         da terra",
            booktitle = "Anais...",
                 year = "2008",
         organization = "Geonordeste - 4. Simp{\'o}sio Regional de Geoprocessamento e 
                         Sensoriamento Remoto.",
             keywords = "classification schemes, preprocessing, global and conditional 
                         performance.",
             abstract = "The purpose of this work was to evaluate the effect of using 
                         several image classification schemes for mapping land cover and 
                         use in three input data: original bands, equalization of bands, 
                         fractions of linear mixture model. Four classification procedures 
                         were used: K-means, Isoseg, Maximum Likelihood and Battacharya. 
                         Results showed that all classification methods used were efficient 
                         with very good performance according to the Kappa coefficient. 
                         There were not expressive differences in the algorithms global 
                         performance with the variation in input data. For any data input 
                         the class forest, secondary forest and soil were well discriminate 
                         with MaxVer, K-means and Battacharya respectively. The class grass 
                         was well recognized on original bands with Isoseg.",
  conference-location = "Aracaj{\'u} - SE",
      conference-year = "12 a 15 de agosto",
             language = "pt",
           targetfile = "Trevisan_etal_2008_Geonordeste.pdf",
        urlaccessdate = "12 maio 2024"
}