@InProceedings{PaesBuoNunMigLor:2015:CoOiBa,
               author = "Paes, Rafael Lemos and Buono, Andrea and Nunziata, Ferdinando and 
                         Migliaccio, Maurizio and Lorenzzetti, Jo{\~a}o Ant{\^o}nio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {} 
                         and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Compact-Polarimetry for oil basins observation",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2798--2805",
         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 = "In this study, Compact-Polarimetry (CP) Synthetic Aperture Radar 
                         (SAR) architectures are exploited for oil basins observation 
                         purposes. Basic wave polarimetry concepts are used to define the 
                         considered CP features emulating actual C-band fully polarimetric 
                         SAR data. Oil basins represent an interesting scenario from both 
                         an environmental and economical perspective. They are a very 
                         complex marine environment in which there are metallic targets 
                         together with potential oil slicks that cover sea surface. 
                         Meaningful experiments undertaken emulating RADARSAT-2 SAR data 
                         demonstrate the capability of CP architectures to both detect 
                         metallic targets at sea and monitor oil slicks. To address target 
                         and oil slick detection simultaneously, a Principal Component 
                         Analysis (PCA) is first performed to reduce the space of the 
                         considered CP features. Hence, once selected the most suitable set 
                         of features to be used in the ocean/target/oil classification 
                         process, an empirical global threshold choosen accordingly to 
                         image statistics is adopted to highlight the presence of metallic 
                         targets and oil slicks over the sea clutter. Then, once both 
                         metallic targets and oil slicks are sorted out from the ocean 
                         background using an adaptive approach involving norm calculation 
                         and based on local thresholds, to solve challenging cases in which 
                         they call for similar feature values, results obtained by 
                         processing the CP features are combined with the intensity 
                         information. Furthermore, oil characterization is addressed with a 
                         statistical analysis supported by an Euclidean metric to quantify 
                         the separation between oil slick and sea histograms.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "551",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4AD8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4AD8",
           targetfile = "p0551.pdf",
                 type = "Sensoriamento remoto de microondas",
        urlaccessdate = "27 abr. 2024"
}