• DocumentCode
    2299058
  • Title

    3-D searching system for point targets detection from an IR image sequence

  • Author

    Liuping, Song ; Zhongkang, Sun

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Defense Technol., Hunan, China
  • fYear
    1991
  • fDate
    20-24 May 1991
  • Firstpage
    400
  • Abstract
    An attempt is made to develop a high-speed detection scheme for moving and stationary point targets registered in an IR (infrared) image sequence. An iterative approximate 3-D line searching algorithm (for non-manoeuvering targets in space) based upon the geometric representation of lines is derived. The convergence of the algorithm is proved. An analysis of the algorithm yields the theoretical detection performance. Statistical experiment results show the effectiveness and the computational efficiency of the algorithm in the case of low signal-to-noise ratio. The algorithm may be employed to satisfy the real-time processing requirement of an IR homing
  • Keywords
    aerospace computing; computerised pattern recognition; computerised picture processing; convergence of numerical methods; infrared imaging; iterative methods; military computing; IR homing; IR image sequence; computational efficiency; computerised image processing; computerised pattern recognition; convergence; geometric representation of lines; high-speed detection; iterative approximate 3-D line searching algorithm; point targets detection; real-time processing; statistical experiment; Algorithm design and analysis; Computational efficiency; Convergence; Image sequences; Infrared detectors; Infrared imaging; Iterative algorithms; Object detection; Performance analysis; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1991. NAECON 1991., Proceedings of the IEEE 1991 National
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-0085-8
  • Type

    conf

  • DOI
    10.1109/NAECON.1991.165780
  • Filename
    165780