@InProceedings{SantosOlLiViRaSa:2017:MéAlCl,
               author = "Santos, Ronaldo Medeiros and Oliveira, Isaac Alves and Lima, 
                         Vin{\'{\i}}cius Orlandi Barbosa and Vicente, Marcelo Rossi and 
                         Ramalho, Ant{\^o}nio Henrique Cordeiro and Santos, Tarley 
                         Aparecido",
                title = "M{\'e}todo alternativo de classifica{\c{c}}{\~a}o de imagens 
                         orbitais para o mapeamento do uso/cobertura da terra nas bacias 
                         dos rios Pardo e Salinas - MG",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7436--7443",
         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 = "Land use / land cover mapping is a basic prerequisite for the 
                         development of a wide variety os studies and environmental actions 
                         planning, such as territorial management, rational exploitation of 
                         natural resources, environmental conservation and urban and 
                         agricultural planning. However, obtaining accurate results is 
                         still a challenge, because both the characteristics of the 
                         sensors, that generate the orbital images, and the different 
                         formulations of the classifiers may not be adequate to the natural 
                         complexity of the studied area, such as the northern region of 
                         Minas Gerais, characterized by strong fragmentation of the 
                         landscape. Therefore, the objective of the present work was to 
                         propose and evaluate an alternative classification method, based 
                         on decision tree algorithm, for the land use/cover mapping in the 
                         Pardo and Salinas rivers basins, in the northern region of Minas 
                         Gerais State. The methodology comprised the development of an 
                         alternative automatic decision tree classifier, considering 
                         spectral and non-spectral information, and the evaluation of its 
                         performance; individually and compared to the result obtained 
                         through classic automatic classifiers. 12 land use/cover classes 
                         were identified and the alternative method proposed was presented 
                         satisfactory and superior performance to that obtained by the 
                         application of the classical Battacharya (region) and maximum 
                         likelihoo (pixel-by-pixel) classifiers.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60161",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMFN8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFN8",
           targetfile = "60161.pdf",
                 type = "Processamento de imagens",
        urlaccessdate = "27 abr. 2024"
}