@InProceedings{SolerSanFreDutSan:2007:ApClPo,
               author = "Soler, Luciana de Souza and Sant'Anna, Sidnei Jo{\~a}o Siqueira 
                         and Freitas, Corina da Costa and Dutra, Luciano Vieira and Santos, 
                         Jos{\'e} Roberto dos",
          affiliation = "{} 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 approach to classify polarimetric P-band SAR images for land 
                         use and land cover mapping in the Brazilian Amazonia",
                 year = "2007",
                pages = "3",
         organization = "IEEE International Geoscience and Remote Sensing Symposium.",
             keywords = "polarimetry, P-band, ICM algorithm, land use, Amazon.",
             abstract = "In this paper the potentiality of polarimetric P-band SAR data for 
                         Amazon tropical forest land cover mapping is assessed. The 
                         classifying approach is based on the Iterative Conditional Mode 
                         (ICM) algorithm, taking into account several specific 
                         distributions to SAR data. Distinct land cover classes are modeled 
                         considering different distributions. The results show that the 
                         P-band data is not capable to discriminate the nine classes 
                         initially used. However this capability improves significantly 
                         when classes having similar vegetation structure are grouped. The 
                         HV image is effective in differentiating primary and very old 
                         regeneration forest areas from other land cover classes, while VV 
                         image increases the classification of bare soil and crop/pasture 
                         areas. The results show the importance of polarimetric information 
                         for the classification of several land use classes.",
  conference-location = "Barcelona, Espanha",
      conference-year = "23 - 27 de julho.",
             language = "en",
           targetfile = "luciana soler.pdf",
        urlaccessdate = "10 maio 2024"
}