@InProceedings{MarujoFonsKortBend:2017:SpNoLa,
               author = "Marujo, Rennan F. B. and Fonseca, Leila Maria Garcia and Korting, 
                         Thales Sehn and Bendini, Hugo do Nascimento",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Spectral normalization between Landsat-8/OLI, Landsat- 7/ETM+ and 
                         CBERS-4/MUX bands through linear regression and spectral 
                         unmixing",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Davis Jr., Clodoveu A. (UFMG) and Queiroz, Gilberto R. de (INPE)",
                pages = "273--282",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 18. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Monitoring changes on Earth's surface is a difficult task commonly 
                         performed using multi-spectral remote sensing. The increasing 
                         availability of remote sensing platforms providing data makes 
                         multi-source approaches promising, since it can increase temporal 
                         revisit rate. However, Digital image processing techniques are 
                         needed to integrate the data, since sensors can be quite different 
                         in terms of acquisition characteristics. This work addresses the 
                         spectral normalizing of three medium spatial resolution sensors: 
                         Landsat- 8/OLI, Landsat-7/ETM+ and CBERS-4/MUX, through linear 
                         regression and linear mixture model approaches. The results showed 
                         slight better results when using the linear regression approach.",
  conference-location = "Salvador",
      conference-year = "04-06 dez. 2017",
                 issn = "2179-4820",
             language = "pt",
                  ibi = "8JMKD3MGPDW34P/3Q5DQ25",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3Q5DQ25",
           targetfile = "35marujo_bendini.pdf",
        urlaccessdate = "27 abr. 2024"
}