@InProceedings{TimbóElmiroDutrMura:2007:CoMoEl,
               author = "Timb{\'o} Elmiro, Marcos Ant{\^o}nio and Dutra, Luciano Vieira 
                         and Mura, Jos{\'e} Claudio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE). Universidade 
                         Federal de Minas Gerais (UFMG). IGC.} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Corre{\c{c}}{\~a}o de modelos de eleva{\c{c}}{\~a}o INSAR 
                         atrav{\'e}s de superf{\'{\i}}cies de erros geradas por 
                         triangula{\c{c}}{\~a}o linear a partir de dados GPS e 
                         esta{\c{c}}{\~o}es geod{\'e}sicas eletr{\^o}nicas",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "5027--5034",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "corre{\c{c}}{\~a}o geom{\'e}trica, modelo digital de terreno, 
                         triangula{\c{c}}{\~a}o de Delaunay.",
             abstract = "Digital elevation models (DEM) are numerical representation of 
                         terrain elevation used in a wide range of spatial analysis 
                         applications. As DEM applications are becoming more widespread, so 
                         does concern about the quality of the available elevation data and 
                         the propagation of DEM errors through the analysis. However, 
                         currently available DEMs frequently report only the average 
                         magnitude of DEM errors as the root mean square error (RMSE), 
                         which does not provide information on systematic bias nor on the 
                         spatial patterns of the DEM errors. This paper presents a 
                         methodology of DEM error correction that includes determination of 
                         global and local accuracy spatial pattern. The correction method 
                         calculates an error compensation surface determined by 
                         triangulation with linear interpolation. The correction surface 
                         will be added to DEM in a pixel by pixel basis. Results showed 
                         that application of proposed correction method, besides improving 
                         DEM geometric quality, also provided statistically confident 
                         numerical estimation of DEM global and local accuracy.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
           copyholder = "SID/SCD",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/10.12.21.05",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/10.12.21.05",
           targetfile = "5027-5034.pdf",
                 type = "Pesquisa e Aplica{\c{c}}{\~o}es com Radar",
        urlaccessdate = "05 jun. 2024"
}