@InProceedings{SohnZHomCBos:2016:AnTéRe,
               author = "Sohn, Odyr and Z. Homma, Rafael and C. Bose, Ricardo",
          affiliation = "INERGE - Florian{\'o}polis, SC - odyrsohn@gmail.com and CELESC - 
                         Florinopolis, SC - rafaelZH@celesc.com.br and INERGE - 
                         Florian{\'o}polis, SC - ricardobose@gmail.com",
                title = "An{\'a}lise de t{\'e}cnicas de reconhecimento de componentes de 
                         linhas de transmiss{\~a}o de energia em imagens a{\'e}reas",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Reconhecimento de Componentes de LTs, Tratamento de Imagens, 
                         Algoritmos, Linhas de Distribui{\c{c}}{\~a}o, 
                         Detec{\c{c}}{\~a}o de Isoladores.",
             abstract = "This article presents an analysis of techniques and algorithms for 
                         recognition electricity transmission lines components in aerial 
                         images taken by aircraft Remotely Piloted (ARP). The goal is to 
                         elect techniques to easy programming in order to require little 
                         image processing knowledge of the technicians involved in system 
                         operation and future expansion. Literature review compared 
                         capabilities and characteristics of several recognition techniques 
                         used in this context, SURF+BoW+SVM techniques was chosen for 
                         testing considering their efficiency and simplicity. Although 
                         popular in many application areas, no results of these technics 
                         was found applied on electrical system components. The goal was to 
                         verify and ensure that this unique solution allowed recognizing 
                         different electrical components. Tests using real images acquired 
                         by ARP were efficient in recognizing the three types of 
                         components. The solution will allow building an efficient and 
                         robust system for recognition of transmission line components at 
                         the same time will add simplicity to the operation, upgrade and 
                         expansion of its recognition capability. The inspection of 
                         transmission networks based on ARPs is a global trend and this 
                         article aims to enrich the discussions and developments in the 
                         subject.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3MA6S5P",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MA6S5P",
           targetfile = "Artigo.pdf",
        urlaccessdate = "2024, May 03"
}