@InProceedings{DiverioFormShim:2003:NeApId,
               author = "Diverio, Viviane Todt and Formaggio, Antonio Roberto and 
                         Shimabukuro, Yosio Edemir",
          affiliation = "{National Institute for Space Research}",
                title = "A new approach to identify land use and and cover areas in 
                         Brazilian Amazon areas using neural networks and IR-MSS fraction 
                         Images from CBERS Satellite",
            booktitle = "Proceedings...",
                 year = "2003",
         organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
            publisher = "IEEE",
              address = "Piscataway",
             keywords = "artificial neural network, linear spectral mixture, modeling, 
                         fraction image, CBERS. Amaz{\^o}nia (Regi{\~a}o).",
             abstract = "Abstract This paper shows the classification obtained with an 
                         artificial neural network o map land cover areas in Brazilian 
                         Amazon region.The new approach is based on fraction images genera 
                         ed by linear spec ral mix ure modeling and used as inpu to the 
                         network.I identified with good accuracy he following classes:wa 
                         er,deforested areas,forests,and areas without predominant fores 
                         physiognomy (Savannah and areas on regeneraion).",
  conference-location = "Toulouse, France",
      conference-year = "21-25 July 2003",
           copyholder = "SID/SCD",
            isbn/issn = "0-7803-7929",
             language = "en",
         organisation = "IEEE",
               volume = "4",
        urlaccessdate = "13 maio 2024"
}