@InProceedings{JrCarv:2017:StMuIm,
               author = "Jr. , Etore Marcari and Carvalho, Naiallen Carolyne Rodrigues 
                         Lima",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Study of multi-source image classification algorithms, decomposed 
                         data and its combinations for a region in the Amazonia",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3624--3631",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This paper investigates the fusion of several kinds of SAR 
                         (Synthetic Aperture Radar) imageswith optical images, which were 
                         used as inputs for land cover classification. Once the images 
                         arefrom different sources, it must be corrected and referenced one 
                         over the other. The technique appliedto perform the fusion was the 
                         classical IHS (Intensity-Hue-Saturation), where the I component 
                         wasreplaced by a product of polarimetric SAR images, that include: 
                         HH and HV polarization amplitudeSAR image, the ratio of HV to HH 
                         amplitudes, the bands ratio and the Freeman-Durden 
                         Decompositioncomponents. After fusing, all real images were 
                         classified by region growing method using theBhattacharya 
                         distance. The complex image, i. e., SAR images, were classified by 
                         the same method,but using the Wishart distribution and the 
                         Bhattacharya distance. The classification accuracy of eachmethod 
                         was measured by the Kappa coefficient.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59616",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLTA7",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTA7",
           targetfile = "59616.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "27 abr. 2024"
}