@InProceedings{MartinsZagl:2019:ApCoNe,
               author = "Martins, Felipe Ferraz and Zaglia, Matheus Cavassan",
          affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro 
                         (PUC-Rio)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Application of convolutional neural network to pixel-wise 
                         classification in deforestation detection using PRODES data",
            booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
                 year = "2019",
               editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 20. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "The INPE PRODES project, which since the 1980s maps and quantifies 
                         deforestation in the Brazilian Legal Amazon, can be considered the 
                         main systematic monitoring project for tropical forests in the 
                         world. Over the time, the project has gone through several stages, 
                         and today its methodology is the visual interpretation of images 
                         by remote sensing experts. This paper aims to evaluate the use of 
                         neural networks to automate this process, improving accuracy and 
                         minimizing the time required for interpretation. Results will be 
                         compared to official PRODES data.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "11 -13 nov. 2019",
                 issn = "2179-4847",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3UFDE98",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFDE98",
           targetfile = "57-65.pdf",
        urlaccessdate = "26 abr. 2024"
}