@InProceedings{UbaNegrVila:2017:ApTéHi,
               author = "Uba, Douglas Messias and Negri, Renato Galante and Vila, Daniel 
                         Alejandro",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Aplica{\c{c}}{\~a}o da t{\'e}cnica histogram matching na 
                         composi{\c{c}}{\~a}o de imagens do canal do vapor d''{\'a}gua 
                         de sat{\'e}lites geoestacion{\'a}rios",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4063--4070",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This work proposes an approach to improve the composition (i.e. 
                         mosaic) of images acquired from different geostationary 
                         satellites. Specifically, the methodology uses an image processing 
                         technique called histogram matching to process water vapor data 
                         obtained from GOES-13 and Meteosat-10. Due to the characteristics 
                         of each sensor, the measured brightness temperatures are different 
                         and a preprocessing step is necessary in order to obtain more 
                         consistent results. A set of images has been analyzed by applying 
                         the histogram matching method and a lookup table was built. The 
                         lookup table associates input brightness temperatures with 
                         corrected output values and is used to transform one of the images 
                         before the final composition. The results showed that the our 
                         approach was able to improve the quality of compositions in 
                         comparison to non-processed data.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59618",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2ER",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM2ER",
           targetfile = "59618.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "08 maio 2024"
}