@InProceedings{Barros:1992:SaImEx,
               author = "Barros, Maria Suelena Santiago",
                title = "Satellite imagery and exogenous data interation by neural network 
                         in automatic land-cover classification",
                 year = "1992",
         organization = "International Society for Optical Engineering.",
             abstract = "Certainly data integration for classification requires a 
                         non-linear system to associate satellite imagery with exogenous 
                         imagery. In this study we present some results of a Neural Network 
                         based methodology to provide land-cover classifications. Two 
                         approaches are investigated: a)The Monolithic Integration: all 
                         required registred images are the inputs of only one Back-Error 
                         Propagation (BEP)network. The network is trained on purpose to get 
                         the final classification. b)The class-distributed integration: for 
                         each class a specific network learns from all sattelite imageries 
                         its class characteristics. In both approachs, topographic mapping 
                         is taken into account as exogenous data.",
  conference-location = "Washigton, USA",
      conference-year = "July 1992",
                label = "6521",
         organisation = "IPIE",
           targetfile = "INPE 5480.pdf",
        urlaccessdate = "10 maio 2024"
}