@InProceedings{AnjosLacAndSalAlm:2019:NoTePr,
               author = "Anjos, Camila Souza dos and Lacerda, Marielcio Gon{\c{c}}alves 
                         and Andrade, Leidiane do Livramento and Salles, Roberto Neves and 
                         Almeida, Cl{\'a}udia Maria de",
          affiliation = "{Instituto Federal de Educa{\c{c}}{\~a}o Ci{\^e}ncia e 
                         Tecnologia do Sul de Minas Gerais (IFSULDEMINAS)} and {Instituto 
                         de Estudos Avan{\c{c}}ados (IEAv)} and {Instituto de Estudos 
                         Avan{\c{c}}ados (IEAv)} and {Instituto de Estudos 
                         Avan{\c{c}}ados (IEAv)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Fus{\~a}o de dados: nova tend{\^e}ncia em processamento digital 
                         de imagens",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "3581--3584",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Fus{\~a}o de Dados, Concurso Internacional de Fus{\~a}o de 
                         Dados, Sociedade de Geoci{\^e}ncias e Sensoriamento Remoto, Data 
                         Fusion, Data Fusion Contest, Geoscience Remote Sensing Society.",
             abstract = "O termo Fus{\~a}o de Dados (Data Fusion) tem obtido cada vez mais 
                         destaque na literatura internacional de sensoriamento remoto. 
                         Entretanto, no Brasil o conceito {\'e} raramente empregado e 
                         quando utilizado {\'e} confundido com a chamada fus{\~a}o de 
                         resolu{\c{c}}{\~o}es espaciais tratada na literatura 
                         internacional como Resolution Merge ou Pan-sharpening. O presente 
                         artigo visa impulsionar o uso do termo Fus{\~a}o de Dados no 
                         Brasil e traz como estudo de caso uma pesquisa realizada pelo 
                         Instituto de Estudos Avan{\c{c}}ados da For{\c{c}}a A{\'e}rea 
                         Brasileira. Tal estudo foi premiado no maior concurso 
                         internacional de sensoriamento remoto, o Data Fusion Contest no 
                         ano de 2017. O concurso {\'e} realizado anualmente pela IEEE 
                         Geoscience Remote Sensing Society (GRSS) e em 2017 contou com a 
                         participa{\c{c}}{\~a}o de pesquisadores de cinquenta 
                         pa{\'{\i}}ses. ABSTRACT: The term Data Fusion is widely used in 
                         the international literature of remote sensing. However, in Brazil 
                         the concept is rarely employed and when used it is confused with 
                         the fusion of spatial resolutions called in the international 
                         literature as Resolution Merge or Pan-sharpening. This paper aims 
                         to boost the use of the term Data Fusion in Brazil and brings as a 
                         case study a research conducted by Institute of Advanced Studies 
                         of the Brazilian Air Force that was awarded in the international 
                         competition, the Data Fusion Contest in the year of 2017. The 
                         competition is performed annually by the IEEE Geoscience Remote 
                         Sensing Society (GRSS) and in 2017 was attended by researchers 
                         from fifty countries.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U9ME45",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U9ME45",
           targetfile = "97829.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "28 abr. 2024"
}