@InProceedings{FucknerFlorMora:2009:CoBiEs,
               author = "Fuckner, Marcus Andre and Florenzano, Teresa Gallotti and Moraes, 
                         Elisabete Caria",
          affiliation = "{Sistema de Prote{\c{c}}{\~a}o da Amaz{\^o}nia} and {Instituto 
                         Nacional de Pesquisas Espaciais} and {Instituto Nacional de 
                         Pesquisas Espaciais}",
                title = "Constru{\c{c}}{\~a}o de bibliotecas espectrais urbanas a partir 
                         de dados ASTER para a aplica{\c{c}}{\~a}o de modelos de mistura 
                         de m{\'u}ltiplos componentes em S{\~a}o Paulo (SP) e Rio de 
                         Janeiro (RJ)",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "1087--1094",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "MESMA, VIPER Tools, mixture model, spectral library, MESMA, VIPER 
                         Tools, modelo de mistura, biblioteca espectral.",
             abstract = "Multiple Endmember Spectral Mixture Analysis (MESMA) allows that 
                         the number and type of endmembers vary for each image pixel. The 
                         goal of this paper is test the use of MESMA in ASTER images of two 
                         large tropical urban centers, S{\~a}o Paulo (SP) and Rio de 
                         Janeiro (RJ), through the functionality available in the VIPER 
                         Tools algorithm. To unmix the spectral mixture it was necessary to 
                         build specific spectral libraries for each area and date of the 
                         study, with careful selection of endmembers, representatives of 
                         the Vegetation, Impervious Surfaces and Soil (V-I-S) categories 
                         confirmed in the fieldwork. The Impervious Surfaces and Soil 
                         endmembers were clustered due to the spectral confusion. The 
                         obtained fraction-images characterized the main elements of the 
                         physical urban structure. The mapped fractions were influenced by 
                         the scene illumination and the seasonality. The algorithm MESMA 
                         seemed to be useful in the first stage of the urban areas modeling 
                         to help selecting the best model(s). Nevertheless, the model 
                         results must be assessed to define if the fractions of a certain 
                         material generated by different models, are or not consistent. 
                         This recommendation is valid to ASTER data and others sensors 
                         data, with application of VIPER Tools or other programs.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.22.08",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.22.08",
           targetfile = "1087-1094.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Dados Multiespectrais e 
                         Hiperespectrais",
        urlaccessdate = "13 maio 2024"
}