@InProceedings{SilvaAleCarBarOli:2017:UtImMu,
               author = "Silva, Hewerton Alves da and Alencar, M{\'a}rcio Lima and 
                         Carrino, Thais Andressa and Barbosa, Jos{\'e} Antonio and 
                         Oliveira, Patricia Fernanda Passos de",
                title = "Utiliza{\c{c}}{\~a}o de imagem multiespectral do sensor ASTER 
                         para identifica{\c{c}}{\~a}o de calcita e gipsita na Bacia do 
                         Araripe CE",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7134--7141",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Studies made through the spectral characterization of the 
                         constituents of the rocks allow to identify sites favorable to the 
                         occurrence of lithologies for the subsequent identification in 
                         subsequent field stages. The objective of this work is to evaluate 
                         the use of the ASTER sensor image in the shortwave infrared band 
                         for the discrimination of calcite and gypsum in a portion of the 
                         Araripe Basin. The 6 bands of the ASTER level 1B sensor, 
                         positioned in the shortwave infrared band and gypsite and calcite 
                         reflectance spectral curves from the USGS spectral library were 
                         used. The atmospheric correction was applied and the following 
                         classifiers were applied: Principal Components Analysis - ACP; MNF 
                         (Minimum Noise Fraction); MTMF (Mixture Tuned Matched Filtering) 
                         and SAM (Spectral Angle Mapper). In both ACP and MNF, the results 
                         selected for the mapping of the studied minerals were associated 
                         to ACP1 and MNF1 in the case of calcite and to ACP5 and MNF5 in 
                         the case of gypsum. The SAM classifier showed very similar results 
                         for calcite and gypsum. The MTMF classifier showed very similar 
                         results in comparison to those resulting from the use of the SAM 
                         technique. The results derived from the application of the ACP and 
                         MNF techniques were superior to those derived from the use of SAM 
                         and MTMF classifiers. In the case of ACP and MNF techniques, 
                         gypsum calcite could be separately mapped. However, the results 
                         from the use of SAM and MTMF classifiers failed to separate these 
                         two mineral classes spectrally.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59364",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMF74",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMF74",
           targetfile = "59364.pdf",
                 type = "Geologia",
        urlaccessdate = "27 abr. 2024"
}