@InProceedings{NevesKörDiGSoaFon:2019:HiClBr,
               author = "Neves, Alana Kasahara and K{\"o}rting, Thales Sehn and Di 
                         Girolamo Neto, Cesare and Soares, Anderson Reis and Fonseca, Leila 
                         Maria Garcia",
          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)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Hierarchical classification of Brazilian savanna physiognomies 
                         using very high spatial resolution image, superpixel and Geobia",
                 year = "2019",
         organization = "International Geoscience and Remote Sensing Symposium (IGARSS)",
             keywords = "Cerrado, Random Forest, context.",
             abstract = "An accurate mapping of Brazilian Savanna (Cerrado) is still a 
                         difficult task due to the high spatial variability and spectral 
                         similarity between its vegetation types, called physiognomies. 
                         This work proposes a methodology based on the hierarchy of 
                         physiognomies, GEOBIA techniques with Superpixel and a very high 
                         spatial resolution image (WorldView2) to classify the Cerrado 
                         physiognomies in an area of preserved vegetation. Seven classes 
                         were distinguished: Gallery Forest, Wooded Savanna, Typical 
                         Savanna, Shrub Savanna, Shrub Grassland, Open Grassland and Rocky 
                         Grassland. The texture features were essential for the 
                         classification and the hierarchical approach obtained higher 
                         accuracies than the nonhierarchical approach. Moreover, GEOBIA and 
                         Superpixel were essential to represent the context that 
                         characterizes each physiognomy.",
  conference-location = "Yokohama, Japan",
      conference-year = "28 July - 02 Aug.",
             language = "en",
           targetfile = "neves_hiearquical.pdf",
        urlaccessdate = "27 abr. 2024"
}