@InProceedings{CamposFeiMotPacCou:2005:MéMoCo,
               author = "Campos, Vanessa de Oliveira and Feitosa, Raul Queiroz and Mota, 
                         Guilherme Lucio Abelha and Pacheco, Marco Aur{\'e}lio Cavalcanti 
                         and Coutinho, Heitor Luiz da Costa",
          affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro 
                         (PUC-RJ)} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do 
                         Rio de Janeiro (PUC-RJ). Universidade do Estado do Rio de Janeiro 
                         (UERJ).} and {Universidade do Estado do Rio de Janeiro (UERJ)} and 
                         {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro 
                         (PUC-RJ). Universidade do Estado do Rio de Janeiro (UERJ).} and 
                         {Empresa Brasileira de Pesquisa Agropecu{\'a}ria. EMBRAPA 
                         Solos.}",
                title = "Um m{\'e}todo para modelagem de conhecimento multitemporal no 
                         processo de classifica{\c{c}}{\~a}o autom{\'a}tica de imagens 
                         de sensores remotos",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "4021--4028",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, knowledge based interpretation, multitemporal 
                         knowledge, digital image processing, sensoriamento remoto, 
                         interpreta{\c{c}},{\~a},o baseada em conhecimento, conhecimento 
                         mutitemporal, processamento digital de imagens.",
             abstract = "The present work proposes a methodology to model multitemporal 
                         knowledge within an automatic image interpretation framework. The 
                         method uses state transition diagrams to express the possibilities 
                         of class changes within a given time span. The change 
                         possibilities are estimated upon data of the same region acquired 
                         at a previous date by using genetic algorithms. Classification 
                         results obtained from multitemporal reasoning are combined to pure 
                         spectral classification by using fuzzy logic techniques. The 
                         proposed approach was evaluated using LANDSAT 7 images of three 
                         consecutive years of an area in southwest Brazil showing 
                         encouraging re-sults. The multitemporal knowledge always improved 
                         the classification performance in comparison to a pure spectral 
                         classification. Moreover the genetic algorithm was in all cases 
                         superior to the manual trial and error alternative for the 
                         parameter estimation of the multitemporal model.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.21.18.28",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.21.18.28",
           targetfile = "4021.pdf",
                 type = "Processamento de Imagens",
        urlaccessdate = "15 jun. 2024"
}