@InProceedings{RibeiroTJBSCTB:2019:WeNeSy,
               author = "Ribeiro, E. S. and Torres, V. A. M. F. and James, B. R. A. and 
                         Braga, M. T. and Shiguemori, Elcio Hideiti and Campos Velho, 
                         Haroldo Fraga de and Torres, L. C. B. and Braga, A. P.",
          affiliation = "{Universidade Federal de Minas Gerais (UFMG)} and {Universidade 
                         Federal de Minas Gerais (UFMG)} and {Universidade Federal de Minas 
                         Gerais (UFMG)} and {Universidade Federal de Minas Gerais (UFMG)} 
                         and {Instituto de Estudos Avan{\c{c}}ados (IEAv)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal 
                         de Minas Gerais (UFMG)} and {Universidade Federal de Minas Gerais 
                         (UFMG)}",
                title = "Weightless neural systems for deforestation surveillance and 
                         image-based navigation of UAVs in the Amazon forest",
                 year = "2019",
         organization = "European Symposium on Artificial Neural Networks, Computational 
                         Intelligence and Machine Learning (ESANN), 27.",
             abstract = "This work proposes a novel methodology for the recognition of 
                         deforestation areas in tropical forests using weightless neural 
                         systems in UAVs. The weightless neural systems embedded in 
                         hardware brings a considerable improvement in the speed of 
                         processing of image-based navigation of UAVs. In our approach the 
                         UAV navigates at the frontier of the deforestation area by means 
                         of previously trained descriptors, being able to monitor the 
                         increase of deforestation area. Experiments using images of the 
                         Amazon rainforest have been performed to validate the proposed 
                         approach.",
  conference-location = "Bruges, Belgium",
      conference-year = "24-26 apr.",
             language = "en",
        urlaccessdate = "20 maio 2024"
}