@InProceedings{Hartwig:2013:MaLiVa,
               author = "Hartwig, Marcos Eduardo",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Mapeamento litol{\'o}gico do Vale do Cura{\c{c}}{\'a} (BA) a 
                         partir da fus{\~a}o de componentes principais de dados dos 
                         sat{\'e}lites ALOS-PALSAR e TM-Landsat",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "3635--3642",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The purpose of this work was the lithological mapping of the 
                         Cura{\c{c}}{\'a} Valley, northern State of Bahia, using 
                         satellite data from ALOS-PALSAR (L-band and HH-HV polarization) 
                         and TM-Landsat. The processing chain was divided in four steps: 
                         (i) pre-processing; (ii) processing; (iii) RGB-IHS fusion; and 
                         (iv) MaxVer classification of hybrid image. The first step 
                         consisted of the coregistration of the reflected and radar images 
                         (coherence - \ and amplitude - A). The second step 
                         consisted of the principal component transformation of the 
                         reflected and radar sets of images independently. The third step 
                         involved the composite of principal components of radar and 
                         reflected data using the RGB-IHS fusion method, in which the I 
                         channel (intensity) was replaced by PC1 obtained from the radar 
                         set of images. The fourth and last step corresponds to the MaxVer 
                         classification of the hybrid image. The results showed that the 
                         hybrid image represents an excellent product for photogeological 
                         mapping, allowing the individualization of the main lithological 
                         units. This result may be related, among other things, to the 
                         peculiar physiographic features of the study area, as scarce 
                         vegetation and shallow soil profile. On the other hand, the MaxVer 
                         classification from hybrid image showed a moderate result (kappa = 
                         0,45), which allowed an incomplete discrimination of the 
                         lithological units, even considering a substantial number of 
                         homogeneously distributed training samples.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "436",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GDC5",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GDC5",
           targetfile = "p0436.pdf",
                 type = "Geologia",
        urlaccessdate = "2024, Apr. 28"
}