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@InProceedings{RamírezAndeForm:2015:NoRaAu,
               author = "Ram{\'{\i}}rez, F{\'a}tima Lorena Ben{\'{\i}}tez and 
                         Anderson, Liana Oighenstein and Formaggio, Ant{\^o}nio Roberto",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Normaliza{\c{c}}{\~a}o radiom{\'e}trica automatizada para 
                         gera{\c{c}}{\~a}o de mosaicos de imagens RapidEye sobre 
                         paisagens amaz{\^o}nicas, atrav{\'e}s da 
                         transforma{\c{c}}{\~a}o IR-MAD",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1292--1299",
         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 = "Radiometric normalization for satellite images mosaics is very 
                         important for monitoring and quantifying large scale land cover 
                         changes. Thus, this paper aims to apply an automatic method for 
                         radiometric normalization of imagery based on the iterative 
                         re-weighted Multivariate Alternation Detection (IR-MAD) 
                         transformation. The procedure was applied in two study areas, each 
                         with different Amazonian landscape. With the purpose of using the 
                         image mosaic in future studies in the Ecuadorian Amazon, the high 
                         resolution images RapidEye were selected. The RapidEye satellites 
                         are distinguished from most other multispectral satellites by the 
                         presence of a RedEdge band, which is relevant for vegetation 
                         characterization. The results of this procedure for mosaicking 
                         RapidEye images over the Amazon showed that the 500 meters overlap 
                         between the adjacent images tiles were not large enough for the 
                         IR-MAD algorithm to detect an adequate amount of invariant pixels 
                         to perform a robust radiometric normalization. Moreover, the 
                         quantity and behavior of the surface features in the scene are 
                         important aspects that limit the identification of invariant 
                         pixels. Finally, to have a successful result, this procedure can 
                         be applied in RapidEye images subsets with a relatively small 
                         array dimensions, due to very large spatial subsets limit this 
                         procedure and does not allow to determinate a satisfactory 
                         regression for radiometric normalization.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "236",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM47UB",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM47UB",
           targetfile = "p0236.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "28 nov. 2020"
}


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