@InProceedings{LeonardiSouzFons:2003:CoDeAl,
               author = "Leonardi, Silvia Shizue and Souza, Sonia Mara and Fonseca, Leila 
                         Maria Garcia",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Compara{\c{c}}{\~a}o do desempenho de algor{\'{\i}}tmos de 
                         normaliza{\c{c}}{\~a}o radiom{\'e}trica de imagens de 
                         sat{\'e}lite",
            booktitle = "Anais...",
                 year = "2003",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "2063 - 2069",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 11. (SBSR).",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, image processing, radiometric normalization.",
             abstract = "At present, the applications involving satellite images in 
                         multi-temporal approaches have become very frequently for 
                         analyzing natural, environmental and meteorological resources. 
                         However, multitemporal set of images present radiometric 
                         differences, which can introduce errors in the data 
                         interpretation. Several radiometric correction methods have been 
                         proposed. In this paper, four of these methods were chosen to be 
                         tested and compared: RABIM (Automatic registration based on Mutual 
                         Information), ASCR (Automatic Sacttergram-Controlled Regression), 
                         UMV (Averages and Variances Normalization) and Radiometric 
                         Rectification, proposed by Hall et al. (1991). The main goal of 
                         all these four methods is to normalize radiometrically the 
                         multitemporal image set (adjust and reference), in order to make 
                         possible radiometric comparisons between them.",
  conference-location = "Belo Horizonte",
      conference-year = "5-10 abr. 2003",
           copyholder = "SID/SCD",
                 isbn = "85-17-00017-X",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2002/11.14.16.57",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2002/11.14.16.57",
           targetfile = "15_204.pdf",
                 type = "Processamento de Imagens Digitais / Digital Image Processing",
        urlaccessdate = "2024, May 18"
}