• DocumentCode
    2170615
  • Title

    Appication of landmine feature extraction using aspect invariant characteristics

  • Author

    Xiao-jiang, Qu ; Yu-ming, Wang ; Yun-fei, Shi ; Qian, Song

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2011
  • fDate
    9-11 Sept. 2011
  • Firstpage
    1329
  • Lastpage
    1332
  • Abstract
    To decrease false alarm, a detection algorithm based on aspect invariant characteristics of sub-aperture images was proposed. Some aspect invariant characteristics features could be extracted based on a double-hump model and sent to classifier and the result was satisfied.
  • Keywords
    feature extraction; landmine detection; military computing; aspect invariant characteristics; double-hump model; landmine feature extraction; sub-aperture images; Aperture antennas; Clutter; Feature extraction; Ground penetrating radar; Landmine detection; Mathematical model; Aspect invariant characteristics; Feature extraction; Landmine detection; Virtual aperture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Control (ICECC), 2011 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4577-0320-1
  • Type

    conf

  • DOI
    10.1109/ICECC.2011.6066386
  • Filename
    6066386
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2170615