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@Article{PaesNunzMigl:2016:CaHyFe,
               author = "Paes, Rafael Lemos and Nunziata, Ferdinando and Migliaccio, 
                         Maurizio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universit{\'a} degli Studi di Napoli Parthenope} and 
                         {Universit{\'a} degli Studi di Napoli Parthenope}",
                title = "On the capability of hybrid-polarity features to observe metallic 
                         targets at sea",
              journal = "IEEE Journal of Oceanic Engineering",
                 year = "2016",
               volume = "41",
               number = "2",
                pages = "346--361",
                month = "Apr.",
             keywords = "Hybrid polarization, performance metrics, polarimetric synthetic 
                         aperture radar, remote sensing, sea surface, target detection, 
                         wave polarimetry.",
             abstract = "In this paper, target at sea detection is addressed using 
                         hybrid-polarity (HP) synthetic aperture radar (SAR) architecture. 
                         Wave polarimetry concepts are used to define HP features that are 
                         used to observe targets at sea. The sensitivity of HP features to 
                         both targets and the surrounding environment is analyzed through a 
                         novel objective norm, namely the Relative Sensitivity for 
                         Polarimetric Features (RSPolF) index. Detection performance is 
                         evaluated by the novel Dependency of Sea state and Target (DoST) 
                         surface characteristics metric, and by the well-known Figure of 
                         Merit (FoM). Experiments undertaken on HP measurements emulated 
                         from Radarsat-2 and ALOS-PALSAR full-polarimetric actual SAR data 
                         demonstrate the effectiveness of the proposed HP approach and the 
                         different sensitivity of HP features to targets and background sea 
                         characteristics. Following those results, a ranking of the HP 
                         features performance is proposed which mainly highlights that HP 
                         features complement each other in the detection process. Finally, 
                         a constant false alarm rate (CFAR) approach is proposed to exploit 
                         two HP features for target detection in an unsupervised way.",
                  doi = "10.1109/JOE.2015.2424751",
                  url = "http://dx.doi.org/10.1109/JOE.2015.2424751",
                 issn = "0364-9059",
             language = "en",
           targetfile = "paes_on the.pdf",
        urlaccessdate = "27 abr. 2024"
}


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