@InProceedings{NegriDuFrScSiAb:2009:ClCoTe,
               author = "Negri, Rog{\'e}rio Galante and Dutra, Luciano Vieira and Freitas, 
                         Corina da Costa and Scofield, Graziela Balda and Silva, Daniel 
                         Lu{\'{\i}}s Andrade e and Aboud Neta, Sumaia Resegue",
          affiliation = "INPE/SP and INPE/SP and INPE/SP and INPE/SP and INPE/SP and 
                         INPE/SP",
                title = "Classifica{\c{c}}{\~a}o da cobertura da terra na Amaz{\^o}nia 
                         utilizando Imagens Polarim{\'e}tricas em Banda L e Maquina de 
                         Vetores Suporte",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "7863--7869",
         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 = "Classifica{\c{c}}{\~a}o de Imagens, SVM, ALOS PALSAR.",
             abstract = "For scientific purposes the ALOS PALSAR sensor can, sporadically, 
                         provide full polarimetric SAR data (HH, HV and VV) In this paper 
                         the deterministic supervised classifier Support Vector Machines 
                         (SVM), have been studied to determine how much the use of full 
                         polarized (HH, VV and HV, no phase information) PALSAR data 
                         information can improve, or not, the overall classification 
                         accuracy in comparison with the standard products, which, for 
                         PALSAR instrument, is the HH (like JERS-1) or the dual 
                         polarization product HH-HV. The overall performance of this type 
                         of classifier is also of interest. The study area, Tapaj{\'o}s 
                         National Forest at the south of Santar{\'e}m City, in the 
                         Brazilian Amazon, Par{\'a} State, has being object of intensive 
                         scientific observation and a set of seven classes were used to 
                         this assessment: primary forest, secondary forest, bare soil, two 
                         types of soy beans, pasture and degraded forest. The three 
                         polarimetric channels have also been filtered before the 
                         classification process by a 5x5 gamma filter, but the unfiltered 
                         channels were also put to test. Results showed that HH and HV 
                         filtered channels combination provided the best classification 
                         performance with 65%, but did not realize a very good separation 
                         between Primary and Secondary Forest.",
  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@80/2008/11.11.18.20",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.11.18.20",
           targetfile = "7863-7869.pdf",
                 type = "T{\'e}cnicas de Classifica{\c{c}}{\~a}o e Minera{\c{c}}{\~a}o 
                         de Dados",
        urlaccessdate = "03 maio 2024"
}