@InProceedings{RibeiroFons:2013:UrLaCo,
               author = "Ribeiro, B{\'a}rbara Maria Giaccom and Fonseca, Leila Maria 
                         Garcia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Urban land cover classification using worldview-2 images and C4.5 
                         algorithm",
            booktitle = "Proceedings...",
                 year = "2013",
                pages = "250--253",
         organization = "Joint Urban Remote Sensing Event, (JURSE).",
              address = "Sao Paulo",
                 note = "{Article number 6550712}",
             keywords = "classification performance, computational time, data mining 
                         algorithm, high resolution image, object based image analysis 
                         (OBIA), Object-based analysis, Remote sensing technology, Urban 
                         land cover classification, Algorithms, Data mining, Maps, Remote 
                         sensing.",
             abstract = "Mapping of urban land cover using remote sensing technology has 
                         been widely explored, especially with the recent availability of 
                         high resolution images and object-based analysis techniques. This 
                         study uses the InterIMAGE software and WorldView-2 sensor imagery, 
                         two recent technologies useful for urban studies, to classify land 
                         cover in a metropolitan area of S{\~a}o Paulo, Brazil. Therefore, 
                         this work aims to compare the classification performance of two 
                         urban land cover thematic maps produced by the object-based image 
                         analysis (OBIA) and C4.5 data mining algorithm. The results showed 
                         that data mining technique presented classification performance 
                         similar to the OBIA method but in a reduced computational time 
                         once the entire processing is optimized.",
  conference-location = "S{\~a}o Paulo",
      conference-year = "21-23 Apr. 2013",
                  doi = "10.1109/JURSE#.2013.6550712",
                  url = "http://dx.doi.org/10.1109/JURSE#.2013.6550712",
                 isbn = "9781479902132",
                label = "scopus 2013-11",
             language = "en",
           targetfile = "06550712.pdf",
        urlaccessdate = "10 maio 2024"
}