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@InProceedings{GirolamoNetoFonsKört:2016:CaStBr,
               author = "Girolamo Neto, Cesare di and Fonseca, Leila Maria Garcia and 
                         K{\"o}rting, Thales Sehn",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Assessment of texture features for Brazilian savanna 
                         classification: a case study in Brasilia National Park",
            booktitle = "Anais...",
                 year = "2016",
         organization = "Brazilian Symposium on GeoInformatics, 17. (GEOINFO)",
             abstract = "Distinguishing Brazilian savanna physiognomies is an essential 
                         task to better evaluate carbon storage and potential emissions of 
                         greenhouse gases. In this study, we propose to evaluate the 
                         potential of texture features to improve the discrimination among 
                         five physiognomies in the Brazilian savanna: Open Grasslands, 
                         Shrubby Grassland, Shrubby Savanna, Savanna Woodland and Gallery 
                         Forest. Texture features extracted from RapidEye images and also 
                         from Spectral Linear Mixture Model components and Vegetation Index 
                         are evaluated in this study. Results showed that texture features 
                         based on GLCM can reduce misclassification for Open Grasslands, 
                         Shrubby Grasslands and Shrubby Savanna classes.",
  conference-location = "Campos do Jord{\~a}o, SP",
      conference-year = "27-30 nov. 2016",
             language = "en",
                  ibi = "8JMKD3MGP3W34P/3N2UA78",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3N2UA78",
           targetfile = "204-215girolamo.pdf",
        urlaccessdate = "28 abr. 2024"
}


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