@InProceedings{Becerra-RondónDiaPitHacRol:2017:CoMéRe,
               author = "Becerra-Rond{\'o}n, Adriana Coromoto and Diaz, Lucas Ribeiro and 
                         Pittigliani, Gabriel Horn and Hackmann, Cristiano Lima and Rolim, 
                         Silvia Beatriz Alves",
                title = "Compara{\c{c}}{\~a}o de m{\'e}todos de recupera{\c{c}}{\~a}o 
                         de emissividade em atmosferas {\'u}midas com dados do 
                         infravermelho termal do sensor ASTER",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6559--6566",
         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 = "The land surface emissivity of (LSE) is an important property in 
                         the remote characterization of targets. The estimation of LSE 
                         involves the application of an indeterminate function in radiance 
                         data contaminated by an atmosphere of complex modeling. Sand 
                         dunes, in general, are composed of quartz, whose spectral behavior 
                         is well characterized in the Thermal Infrared (TIR) region. In 
                         this work three emissivity retrieval methods were evaluated using 
                         ASTER (Advanced Spaceborne Thermal Emission and Reflection 
                         Radiometer) Thermal Infrared data (10 to 14 bands 
                         8.125-10.95\μm): Normalization Emissivity Method (NEM), 
                         Reference Channel Method (RCM) and Alpha Residuals Method 
                         (\α-RM). Emissivity images were generated, whose samples of 
                         quartz endmembers were compared with homologous curves from the 
                         Johns Hopkins University (JHU) spectral library. The results for 
                         NEM and RCM were evaluated by the cosine similarity method, 
                         comparing vectors formed by the values of emissivity. In the 
                         comparison of the NEM and RCM methods, a minimum difference 
                         between the emissivity values was found, with a greater similarity 
                         in the vectors referring to NEM. The vectors of MEN and MBR 
                         presented values of \Ɵ = 0.0108663 and \Ɵ = 0.0108804, 
                         respectively. The \α-RM generates only a good estimate of 
                         the spectral curve with relative emissivity data of the mineral 
                         from a reference emissivity. Regarding future objectives, LSE 
                         retrieval tests will be performed on images corrected for 
                         atmospheric effects from controlled experiments. Furthermore, 
                         methods with adjustments of emissivity values will be tested from 
                         endmembers of the spectral library of the study area.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60158",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMD5U",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMD5U",
           targetfile = "60158.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "27 abr. 2024"
}