@InProceedings{SoaresDutrVija:2009:MoTrSa,
               author = "Soares, Marinalva Dias and Dutra, Luciano Vieira and Vijaykumar, 
                         Nandamudi L.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "TSML: Modeling Training Samples for Exchange among Image 
                         Classification Systems",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Velho, Haroldo Fraga de Campos and Soterroni, Aline Cristina and 
                         Vasconcellos, Eduardo Charles and Carneiro, Edu{\'{\i}}lson 
                         L{\'{\i}}vio Neves da Costa and Pantale{\~a}o, Eliana and 
                         Goltz, Gustavo Augusto Mascarenhas and Anochi, Juliana Aparecida 
                         and Dantas, Murilo da Silva and Rosa, Reinaldo Roberto and Junior, 
                         Rodolfo Ranck",
         organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE, 9. 
                         (WORCAP).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "x.",
             abstract = "The variety of formats of Earth Science data has led to the 
                         data/application interoperability problem. The extraction of 
                         information from Earth observation data is, more commonly, made 
                         using classification techniques. Often users and researchers 
                         perform comparisons of classification results using different 
                         systems in search for better results. For this, it is necessary to 
                         use the same dataset, i.e, the same training samples and image. In 
                         doing so, they have difficulties in the interchange or reuse of 
                         training samples due to differences in their formats and 
                         structure, which leads them to repeat the task of extraction of 
                         samples in each system. This paper presents a novel contribution 
                         by proposing a standard model of storage of training samples, 
                         based on XML, to enable its interchange among different systems.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "21 e 22 out. 2009",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/37NC6P5",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/37NC6P5",
           targetfile = "101915.pdf",
        urlaccessdate = "27 abr. 2024"
}