@InProceedings{PereiraSiNeSaDuFrEr:2011:AnCoMé,
               author = "Pereira, Luciana de Oliveira and Silva, Ana Elisa Pereira da and 
                         Negri, Rog{\'e}rio Galante and Sant’Anna, Sidnei Jo{\~a}o 
                         Siqueira and Dutra, Luciano Vieira and Freitas, Corina da Costa 
                         and Erthal, Guaraci Jos{\'e}",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE} and {Instituto Nacional de 
                         Pesquisas Espaciais - INPE} and {Instituto Nacional de Pesquisas 
                         Espaciais - INPE} and {Instituto Nacional de Pesquisas Espaciais - 
                         INPE} and {Instituto Nacional de Pesquisas Espaciais - INPE} and 
                         {Instituto Nacional de Pesquisas Espaciais - INPE}",
                title = "An{\'a}lise comparativa dos m{\'e}todos de 
                         classifica{\c{c}}{\~a}o SVM e Maxver-ICM Polarim{\'e}trico em 
                         imagem de radar ALOS PALSAR",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "8223--8230",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, radar image, classification, sensoriamento remoto, 
                         imagem de radar, classifica{\c{c}}{\~a}o.",
             abstract = "Optical remote sensing are of restricted use over highly cloudy 
                         areas when they are applied in Amazon, especially during rainy 
                         season. Synthetic Aperture Radar imagery has been an alternative, 
                         since data acquisition is independent of weather conditions. Thus, 
                         the scientific community has been developing and testing 
                         techniques for processing and classification of such imagery in 
                         order to enhance information extraction. In this context, this 
                         paper aims to compare the techniques of supervised classification 
                         of polarimetric Maxver-ICM and SVM Radial Basis Function (RBF) in 
                         the radar image ALOS PALSAR (Amplitude), using statistical 
                         analysis, overall accuracy, Kappa and Tau index highlighting the 
                         advantages and disadvantages of operational applications. It was 
                         concluded that the Maxver-ICM polarimetric showed better results 
                         in classification than the SVM, except for the class Forest. Also 
                         the ICM procedure uses de context to improve final classification, 
                         results which is not available for SVM. It is noteworthy that the 
                         main advantage of Maxver-ICM polarimetric is the processing time 
                         and the gratuity.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A3PL6P",
                  url = "http://urlib.net/ibi/3ERPFQRTRW/3A3PL6P",
           targetfile = "p0975.pdf",
                 type = "SAR: Processamento e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "11 maio 2024"
}