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@InProceedings{LiesenbergGloa:2015:CoSiDu,
               author = "Liesenberg, Veraldo and Gloaguen, Richard",
                title = "Comparing Single, Dual and Quad-Polarimetric Data at L-band for 
                         Classification Purposes in Eastern Amazon",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7321--7326",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Single, dual, and quad-polarization mode data at spaceborne L-band 
                         were evaluated for the classification of seven land use classes in 
                         an area with shifting cultivation practices located in the Eastern 
                         Amazon (Brazil). We evaluated Advanced Land-Observing Satellite 
                         (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) 
                         derived backscattering intensity, polarimetric features, 
                         interferometric coherence and texture parameters for 
                         classification purposes using support vector machines (SVM) and 
                         feature selection. Results showed that the forest classes were 
                         characterized by low temporal backscattering intensity 
                         variability, low coherence and high entropy. Quad polarization 
                         mode performed better than dual and single polarizations but 
                         overall accuracies remain low and were affected by precipitation 
                         events on the date and prior SAR date acquisition. 
                         Misclassifications were reduced by integrating Landsat data and an 
                         overall accuracy of 85% was attained. We show that in absence of 
                         Landsat data, polarimetric features extracted from 
                         quad-polarization L-band increase classification accuracies when 
                         compared to single and dual polarization alone. We argue that the 
                         joint analysis of SAR and their derived parameters with optical 
                         data performs even better and thus encourage the further 
                         development of joint techniques.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1633",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4JTH",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4JTH",
           targetfile = "p1633.pdf",
                 type = "Sensoriamento remoto de microondas",
        urlaccessdate = "25 jan. 2021"
}


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