@InProceedings{RoyerBertMaga:2019:OePR19,
               author = "Royer, Ana Caroline and Bert{\'e}, Gabriela Moro and 
                         Magalh{\~a}es, Vanderlei Leopold",
          affiliation = "{Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and 
                         {Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)} and 
                         {Universidade Tecnol{\'o}gica Federal do Paran{\'a} (UTFPR)}",
                title = "Performance de classificadores de SIG em imagens Landsat-5 da 
                         bacia hidrogr{\'a}fica do Rio S{\~a}o Francisco Verdadeiro - 
                         Oeste do PR, em 1985",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "371--374",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Classifica{\c{c}}{\~a}o supervisionada, 
                         Classifica{\c{c}}{\~a}o n{\~a}o supervisionada, Uso e cobertura 
                         da terra, Supervised classification, Unsupervised classification, 
                         Use and land cover.",
             abstract = "Com o objetivo de avaliar o desempenho de diferentes 
                         classificadores inseridos nos Sistemas de Informa{\c{c}}{\~o}es 
                         Geogr{\'a}ficas (SIG), realizou-se, no SPRING 5.2.6, o 
                         processamento e a classifica{\c{c}}{\~a}o do tipo supervisionada 
                         (Maxver e Bhattacharya) e n{\~a}o supervisionada (Isoseg) de 
                         imagens do sat{\'e}lite Landsat-5 da bacia do rio S{\~a}o 
                         Francisco Verdadeiro oeste do PR, datadas de 1985. O classificador 
                         Maxver apresentou erro de inclus{\~a}o e de omiss{\~a}o. 
                         Verificouse conflito entre as classes de solo exposto, {\'a}rea 
                         agr{\'{\i}}cola e vegeta{\c{c}}{\~a}o, entretanto a {\'a}rea 
                         de ambas {\'e} equivalente. Bhattacharya apresentou um resultado 
                         satisfat{\'o}rio, contudo o melhor desempenho foi obtido ao 
                         empregar a classifica{\c{c}}{\~a}o n{\~a}o supervisionada, pois 
                         Isoseg foi o {\'u}nico a identificar toda a {\'a}rea da bacia. 
                         De acordo com a finalidade do estudo, {\'e} poss{\'{\i}}vel 
                         definir o desempenho requerido dos classificadores e, caso o 
                         emprego deles seja insuficiente, a ferramenta de 
                         edi{\c{c}}{\~a}o matricial {\'e} oportuna. ABSTRACT: In order 
                         to evaluate the performance of different classifiers inserted in 
                         the Geographic Information Systems (GIS), the processing and 
                         classification of the supervised (Maxver and Bhattacharya) and 
                         unsupervised type (Isoseg) of images were carried out in SPRING 
                         5.2.6 of the Landsat-5 satellite of the S{\~a}o Francisco River 
                         basin True-west of PR, dating from 1985. The Maxver classifier 
                         presented an inclusion and omission error. There was conflict 
                         between the classes of exposed soil, agricultural area and 
                         vegetation, however the area of both is equivalent. Bhattacharya 
                         presented a satisfactory result, but the best performance was 
                         obtained by using the unsupervised classification, because Isoseg 
                         was the only one to identify the entire area of the basin. 
                         Depending on the purpose of the study, it is possible to define 
                         the required performance of the classifiers and, if their use is 
                         insufficient, the matrix editing tool is timely.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U6LE8P",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U6LE8P",
           targetfile = "97796.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "16 jun. 2024"
}