@InProceedings{ScofieldDutFreSanSil:2010:EvTwRe,
               author = "Scofield, Graziela Balda and Dutra, Luciano Vieira and Freitas, 
                         Corina da Costa and Sant´Anna, Sidnei Jo{\~a}o Siqueira and 
                         Silva, Daniel Luis Andrade",
          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 {Diretoria de Servi{\c{c}}o Geogr{\'a}fico 
                         - DSG Quartel General do Ex{\'e}rcito}",
                title = "Evaluation of two region based classifications in Tapaj{\'o}s 
                         National Forest using the ALOS/PALSAR polarimetric and 
                         interferometric coherences",
            booktitle = "Proceedings...",
                 year = "2010",
         organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
            publisher = "IEEE",
              address = "Piscataway",
             keywords = "ALOS/PALSAR, Bhattacharyya distance, Coherence, Polarimetric 
                         image, Region segmentation, Geology, Information use, Landforms, 
                         Polarimeters, Polarographic analysis, Remote sensing, Image 
                         segmentation.",
             abstract = "The use of phase information present in complex multi polarized 
                         images may increase the classification results. Thus, the 
                         coherence is one attribute that may be extracted from these images 
                         and used to distinguish some land cover classes. Therefore, its 
                         discriminatory capability for land use and land cover 
                         classification is analyzed. The analysis is based on the 
                         classification results of a region classifier, which needs a 
                         segmented image as one input. The influence of this kind of image 
                         input is also evaluated using of two segmentation algorithms, the 
                         SegSAR and the SPRING region growing. Two ALOS/PALSAR images 
                         acquired over Tapajo\́s National Forest in the Brazilian 
                         Amazon were classified. The classifications were quantified by the 
                         overall accuracy, the kappa values and its variance. The 
                         classification improvement using the coherence information with 
                         intensity images was noticed for every image set.",
  conference-location = "Honolulu",
      conference-year = "25-30 July 2010",
                 issn = "9781424495658 and 9781424495665",
             language = "en",
         organisation = "IEEE",
           targetfile = "05650816.pdf",
        urlaccessdate = "16 jun. 2024"
}