• DocumentCode
    3098848
  • Title

    Wavelet improved edge detectors for Unmanned Aircraft System boundary extraction

  • Author

    Zhang, G.Z. ; Zhao, K.J. ; Hu, J. ; Wang, T.

  • Author_Institution
    New Star Res. Inst. of Appl. Technol., Hefei, China
  • Volume
    1
  • fYear
    2010
  • fDate
    18-19 Oct. 2010
  • Abstract
    In this paper, we focus on the problem of Unmanned Aircraft System (UAS) boundary detection, one of the most important intermediate steps to intelligent acquisition and processing, and proposed a wavelet transform optimization scheme for the purpose of improving traditional edge detect operators performance. The experimental evidence on Global Hawk unmanned system boundary extraction indicates the efficiency of our proposed strategy.
  • Keywords
    aircraft; edge detection; optimisation; remotely operated vehicles; robot vision; wavelet transforms; Global Hawk unmanned system boundary extraction; intelligent acquisition; intelligent processing; unmanned aircraft system boundary extraction; wavelet improved edge detectors; wavelet transform optimization scheme; Image edge detection; Unmanned aerial vehicles; edge detection; image processing; unmanned aircraft system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking and Automation (ICINA), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8104-0
  • Electronic_ISBN
    978-1-4244-8106-4
  • Type

    conf

  • DOI
    10.1109/ICINA.2010.5636437
  • Filename
    5636437