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@Article{WiederkehrGaMuSaBiSa:2019:AnTaDe,
               author = "Wiederkehr, Natalia Cristina and Gama, F{\'a}bio Furlan and Mura, 
                         Jos{\'e} Cl{\'a}udio and Santos, Jo{\~a}o Roberto dos and 
                         Bispo, Polyanna da Concei{\c{c}}{\~a}o and Sano, Edson Eyji",
          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 {University of Leicester} and {Empresa 
                         Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)}",
                title = "Analysis of the target decomposition technique attributes and 
                         polarimetric ratios to discriminate land use and land cover 
                         classes of the tapaj{\'o}s region",
              journal = "Boletim de Ci{\^e}ncias Geod{\'e}sicas",
                 year = "2019",
               volume = "25",
               number = "1",
                pages = "UNSP e2019002",
             keywords = "Forest mapping, Amazonia, ALOS/PALSAR-2, remote sensing, forest 
                         monitoring.",
             abstract = "This study aims to analyze the capability of the target 
                         decomposition techniques and the polarimetric ratios applied to 
                         the ALOS/PALSAR-2 satellite polarimetric images to discriminate 
                         the land use and land cover classes in the Tapajos National Forest 
                         region, Para State. Three full polarimetric ALOS/PALSAR-2, level 1 
                         single look complex scenes were selected to generate the coherence 
                         and the covariance matrices to derive the Cloude-Pottier and the 
                         Freeman-Durden target decomposition attributes. From the 
                         radiometrically calibrated PALSAR-2 images, we generated the 
                         backscatter coefficients, the cross polarized ratio (RC; HV/HH), 
                         the parallel polarized ratio (RP; VV/HH) and the Radar Forest 
                         Degradation Index (RFDI). The images resulting from these 
                         polarimetric attributes were processed by the Maximum Likelihood 
                         (MAXVER) classifier coupled with the Iterated Conditional Modes 
                         (ICM) contextual algorithm. We found that the classifications 
                         derived from the target decomposition attributes, mainly from the 
                         Cloude-Pottier technique, with a Kappa index of 0.75, presented a 
                         significant higher performance than those derived from the RC 
                         ratio, RP ratio, and RFDI.",
                  doi = "10.1590/s1982-21702019000100002",
                  url = "http://dx.doi.org/10.1590/s1982-21702019000100002",
                 issn = "1413-4853",
             language = "en",
           targetfile = "1982-2170-bcg-25-01-e2019002.pdf",
        urlaccessdate = "28 nov. 2020"
}


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