@InProceedings{SchultzLuizSancForm:2015:QuClAu,
               author = "Schultz, Bruno and Luiz, Alfredo Jos{\'e} Barreto and Sanches, 
                         Ieda Del Arco and Formaggio, Ant{\^o}nio Roberto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Qualidade da classifica{\c{c}}{\~a}o autom{\'a}tica de imagens 
                         de sensoriamento remoto em trabalhos apresentados nas 
                         edi{\c{c}}{\~o}es anteriores do SBSR",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2357--2364",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "A study has been carried out considering 18 years of papers 
                         published in the Simp{\'o}sio Brasileiro de Sensoriamento Remoto 
                         (Brazilian Remote Sensing Symposium) related to the subject of 
                         satellite image classification. The aim of the study was to assess 
                         the degree of progress made in thematic mapping through 
                         developments in classification algorithms, different approaches 
                         (per-pixel or object-based) and methods (unsupervised and 
                         supervised). The result of 238 reported classification experiments 
                         were quantitatively analyzed through Kappa Index (KI) results. 
                         Several parameters were used to relate the experiments, as type of 
                         approach, method, number of samples and classes, used sensor 
                         system, etc. Overall, the results showed that no significant 
                         improvement was found in KI results after 18 years SBSR. The mean 
                         and KI values was found to be 0.71 and standard deviation of 0.14. 
                         Relations between KI results and number of class, type of approach 
                         and method could not be found. Thirty one percent of the 
                         experiments analyzed did not present sufficient methodological 
                         information, thus, they were excluded from the analysis.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "477",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM49TF",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49TF",
           targetfile = "p0477.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "27 abr. 2024"
}