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@InProceedings{CarvalhoKuxFlor:2012:UrLaCo,
               author = "Carvalho, Marcus and Kux, Hermann Johann Heinrich and Florenzano, 
                         Teresa Gallotti",
          affiliation = "{} and undefined and undefined",
                title = "Urban land cover classification with Worldview-2 images using Data 
                         mining and Object-based image analysis",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da 
                         and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia 
                         and Kux, Hermann Johann Heinrich",
                pages = "431--436",
         organization = "International Conference on Geographic Object-Based Image 
                         Analysis, 4. (GEOBIA).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Remote sensing, Data mining, Geographic object-based image 
                         analysis, Urban land cover, High spatial resolution satellite 
                         images.",
             abstract = "The products available from new satellite sensor systems with high 
                         spatial resolution present a considerable potential for 
                         applications in urban areas. These datasets open new perspectives 
                         for the automatic extraction of information for environmental 
                         planning and management. However in order to get efficiently the 
                         information required, innovative concepts are necessary at both 
                         working phases: segmentation and discrimination of objects within 
                         the image. The objective of this study is to develop a methodology 
                         using OBIA and Data mining techniques to map land cover with 
                         WorldView-2 images in a western district of S{\~a}o Paulo 
                         municipality (Brazil). The Data mining techniques used were 
                         decision trees at algorithm C4.5 from the free software package 
                         WEKA, known as J48. It allows the system user to configure 
                         different functionalities which intervene at the final Data mining 
                         result, such as MinNumObj: the minimum number of instances 
                         (objects) by sheet. Through this functionality it is possible to 
                         control the size and complexity of the tree generated. In this 
                         study the performance of image classification obtained from two 
                         decision trees was evaluated, considering different MinNumObj. The 
                         statistical assessment indicated a good precision for both maps, 
                         with Kappa Indices of 0.7876 (MinNumObj: 25) and 0.8383 
                         (MinNumObj: 2).",
  conference-location = "Rio de Janeiro",
      conference-year = "May 7-9, 2012",
                 isbn = "978-85-17-00059-1",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3BTG99B",
                  url = "http://urlib.net/rep/8JMKD3MGP8W/3BTG99B",
           targetfile = "117.pdf",
                 type = "Urban Applications",
        urlaccessdate = "25 jan. 2021"
}


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