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@InProceedings{AlvesRossVale:2015:IdSuDe,
               author = "Alves, Fabio Corr{\^e}a and Rossetti, Dilce de F{\'a}tima and 
                         Valeriano, M{\'a}rcio de Morisson",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Identifica{\c{c}}{\~a}o de subambientes de delta a partir de 
                         imagem PALSAR/ALOS-1",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "903--910",
         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 = "Previous analysis of PALSAR image suggests a residual morphology 
                         related to a possible wave-dominated delta to the north of the 
                         Para{\'{\i}}ba River mouth. If confirmed, this feature can 
                         contribute with studies aiming the reconstruction of relative sea 
                         level fluctuations during the late Quaternary in northeastern 
                         Brazil. The PALSAR sensor operates in the L band (23, 6 cm) and 
                         has good penetrability in ground targets, being able to unraveal 
                         morphological features not identifiable using other remote sensing 
                         products. Given the relatively recent availability, the 
                         application of PALSAR images aiming the recognition of deltaic 
                         morphologies has not been tested yet. The goal of this work was to 
                         test spatial filtering techniques based on PALSAR images in order 
                         to analyze their potential for the recognition of deltaic 
                         morphologies, using as an example a residual paleodelta morphology 
                         at the Para{\'{\i}}ba River mouth. Arithmetic operations and 
                         spatial filtering techniques (mean and directional) based on HH 
                         and HV polarizations were applied. The results were evaluated by 
                         descriptive statistics and target characteristics such as 
                         brightness, texture and contrast. The remote sensing techniques 
                         used in this work highlighted the residual deltaic morphology of 
                         the Para{\'{\i}}ba River and helped to characterize its 
                         sub-environments. In particular, the HH and HH+HV polarized images 
                         processed using spatial filtering techniques were the most 
                         efficient products to delineate the paleoshoreline of this deltaic 
                         system, and also the sets of beach ridges that prograded during 
                         its evolution.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "172",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM47HA",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM47HA",
           targetfile = "p0172.pdf",
                 type = "Geomorfologia",
        urlaccessdate = "30 nov. 2020"
}


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