@InProceedings{FrançaLoAlSiKoFoSi:2015:SPBr,
               author = "Fran{\c{c}}a, David Guimar{\~a}es Monteiro and Lotte, Rodolfo 
                         Georjute and Almeida, Cl{\'a}udia Maria de and Siani, Sacha 
                         Maru{\~a} Ortiz and Korting, Thales Sehn and Fonseca, Leila Maria 
                         Garcia and Silva, Luiz Tadeu da",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Object-based image analysis for urban land cover classification in 
                         the city of Campinas - SP, Brazil",
            booktitle = "Proceedings...",
                 year = "2015",
         organization = "Joint Urban Remote Sensing Event, (JURSE).",
              address = "IEEE",
             keywords = "Economic valuation, Environmental impact, Payment for ecosystem 
                         services, Silting-up.",
             abstract = "Classifiers that make use of pixel-by-pixel approaches are limited 
                         in the high spatial and radiometric resolution of urban areas, 
                         that happens mostly because of the similarity between the target's 
                         spectral response like ceramic roofs and bare soil. Because of 
                         that, the literature favors approaches that make use of 
                         object-oriented analysis for image interpretation, those 
                         approaches make a better use of the high spatial resolution and do 
                         not use only the target spectral response. Assuming that the 
                         object-oriented analysis is a favorable approach to be employed 
                         for intra-urban image classification, this paper will assess the 
                         results of such approach through an implementation of it in an 
                         urbanized area from the city of Campinas (Brazil), which has a 
                         size close to twelve square kilometers. Making use of the fusion 
                         of high spatial resolution image from Worldview-2 sensor and it's 
                         panchromatic band, the experiments were performed with the use of 
                         eCognition Developer 8 as the segmentation platform, and the 
                         classification being based on a decision tree generated by J48 
                         (C4.5) algorithm on the software WEKA. This work also assess which 
                         approach best suits the experiment needs, being an optimal 
                         attribute selection achieved through a Wrapper filter, with a 
                         final kappa statistic of 0.9425.",
  conference-location = "Lausanne, Switzerland",
      conference-year = "30 Mar.-1 April 2015",
                  doi = "10.1109/JURSE.2015.7120351",
                  url = "http://dx.doi.org/10.1109/JURSE.2015.7120351",
                 isbn = "9781479966523",
             language = "en",
           targetfile = "franca_objetct.pdf",
        urlaccessdate = "27 abr. 2024"
}