@InProceedings{BastosFonPinKorSan:2013:CoAn,
               author = "Bastos, Vanessa da Silva Brum and Fonseca, Leila Maria Garcia and 
                         Pinho, Carolina Moutinho Duque de and Korting, Thales Sehn and 
                         Santos, Rafael Duarte Coelho dos",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Centro de 
                         pol{\'{\i}}tica e economia do setor p{\'u}blico (CEPESP) 
                         Funda{\c{c}}{\~a}o Get{\'u}lio Vargas (FGV-SP) S{\~a}o Paulo, 
                         Brazil and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Intraurban land cover classification using IKONOS II images and 
                         data mining techniques: a comparative analysis",
            booktitle = "Anais...",
                 year = "2013",
         organization = "Joint Urban Remote Sensing Event, (JURSE).",
            publisher = "Institute of Electrical and Electronics Engineers",
             keywords = "intraurban, land cover, data mining.",
             abstract = "High spatial resolution image analysis acquired over urban areas 
                         has been performed with success using Geographic Object Based 
                         Analysis (GEOBIA). However, it was observed that the use of data 
                         mining techniques in the image analysis procedures can speed up 
                         the processing time by selecting the most appropriate parameters 
                         for classification process without decreasing the classification 
                         accuracy. Therefore, this work aims at comparing some algorithms 
                         for classifying intra-urban land cover using IKONOS II images and 
                         data mining techniques. Three classification algorithms, KNN, MLP 
                         and C4.5 were analyzed.",
  conference-location = "S{\~a}o Paulo, SP",
      conference-year = "2013",
                 isbn = "978-1-4799-0211-8",
                label = "lattes: 7413318739396387 1 BastosFonPinKorSan:2013:CoAn",
             language = "en",
           targetfile = "brumvanessa.pdf",
        urlaccessdate = "11 maio 2024"
}