@InProceedings{KuxNovFerOliRib:2011:ClCoSo,
               author = "Kux, Hermann Johann Heinrich and Novack, Tessio and Ferreira, 
                         Rodrigo and Oliveira, Dario Augusto and Ribeiro, B{\'a}rbara 
                         Maria Giaccom",
          affiliation = "{Instituto Nacional de Pesquisas Espacias - INPE} and {Instituto 
                         Nacional de Pesquisas Espacias - INPE} and {PUC-RIO - Departamento 
                         de Engenharia El{\'e}trica} and {PUC-RIO - Departamento de 
                         Engenharia El{\'e}trica} and {Instituto Nacional de Pesquisas 
                         Espacias - INPE}",
                title = "Classifica{\c{c}}{\~a}o da cobertura do solo urbano usando 
                         imagens {\'o}pticas de alt{\'{\i}}ssima resolu{\c{c}}{\~a}o e 
                         o sistema InterIMAGE baseado em conhecimento",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "822--829",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "InterIMAGE, QuickBird-2, Land cover, Urban planning, InterIMAGE, 
                         QuickBird-2, Cobertura do solo, Planejamento urbano.",
             abstract = "This study uses the InterIMAGE system and imagery from the 
                         QuickBird II optical sensor for the classification of the land 
                         cover of two test-sites in the metropolis of S{\~a}o Paulo, 
                         Brazil. InterIMAGE is an open source and free access framework for 
                         knowledge-based image classification. Within InterIMAGE human 
                         knowledge is represented as a semantic net and by user-defined 
                         rules based on the paradigms of object-oriented image analysis. 
                         The Segmentation Parameter Tuner system was used to search for 
                         appropriate segmentation parameters. This system uses a genetic 
                         algorithm for the optimization of parameters. For the description 
                         of the land cover classes in terms of features and thresholds, a 
                         strategy combining a hierarchical structure of classes and the 
                         decision tree algorithm C4.5 was elaborated. The classification 
                         model was then formatted according to InterIMAGEs image analysis 
                         strategy. The proposed methodology is efficient for the automatic 
                         mapping of the land cover in complex urban areas. The final 
                         classification achieved an overall accuracy of 73% and a Kappa 
                         Accuracy Index of 0.69. This study has explored the main 
                         functionalities of InterIMAGE, presenting its potentialities for 
                         object- and knowledge-based image classification.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/39UGE8S",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/39UGE8S",
           targetfile = "p1713.pdf",
                 type = "Estudos Urbanos",
        urlaccessdate = "09 maio 2024"
}