@InProceedings{PinhoFeitKux:2005:CoAAb,
               author = "Pinho, Carolina Moutinho Duque de and Feitosa, Fl{\'a}via da 
                         Fonseca and Kux, Hermann Johann Heinrich",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Classifica{\c{c}}{\~a}o autom{\'a}tica de cobertura do solo 
                         urbano em imagem Ikonos: compara{\c{c}}{\~a}o entre a abordagem 
                         pixel-a-pixel e orientada a objetos",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "4217--4224",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "S{\~a}o Jos{\'e} dos Campos-SP, land-cover, automatic 
                         classification, high resolution image, IKONOS.",
             abstract = "The improvement of spatial and radiometric resolution in satellite 
                         images has introduced some challenges in urban remote sensing. Due 
                         to the large spectral variation in urban areas, the most important 
                         of these challenges is to obtain a proper distinction among 
                         different urban targets. The traditional algorithms of 
                         classification with per-pixel approach have not been successful in 
                         this purpose. Hence, tests of new methods are required. This paper 
                         presents a comparison between two methods: MAXVER, a traditional 
                         per-pixel approach, and the oriented object analysis, a 
                         region-based approach. The latter method has the advantage of 
                         using not only spectral attributes, but also geometrical and 
                         relational attributes for the classification. An IKONOS image of 
                         Esplanada, a neighborhood of S{\~a}o Jos{\'e} dos Campos (SP, 
                         Brazil), was used in the experiments.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Portugu{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.19.17.58",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.19.17.58",
           targetfile = "4217.pdf",
                 type = "Processamento de Imagens",
        urlaccessdate = "06 maio 2024"
}