• DocumentCode
    3270138
  • Title

    Application of multi-sensor data fusion technology in target recognition

  • Author

    Xiao Yanghui ; Shi Zelin

  • Author_Institution
    Chinese Acad. of Sci., Grad. Univ., Beijing, China
  • fYear
    2011
  • fDate
    18-20 Jan. 2011
  • Firstpage
    441
  • Lastpage
    444
  • Abstract
    This paper presents a D-S evidence reasoning based on multi-sensor system, in which two CCD cameras and one IR sensor are used to extract features for discerning missile target, jamming light cluster and fire pile. With D-S evidence reasoning algorithm, we recognize missile target and jamming light on region square feature and cluster and fire pile on position feature, respectively. The experimental results show that the recognition probability obtained by fusing the D-S evidence of three sensors is greatly improved compared with using single sensors.
  • Keywords
    CCD image sensors; feature extraction; image fusion; image recognition; inference mechanisms; military computing; missiles; probability; CCD camera; D-S evidence reasoning; Dempster-Shafer reasoning; IR sensor; charged-coupled device camera; feature extraction; infrared sensor; jamming light recognition; missile target recognition; multisensor data fusion technology; position feature; recognition probability; region square feature; target recognition; Fires; Jamming; Optical filters; Optical imaging; Optical sensors; D-S algorithm; data fusion; multi-sensor system; target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2011 3rd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8809-4
  • Electronic_ISBN
    978-1-4244-8810-0
  • Type

    conf

  • DOI
    10.1109/ICACC.2011.6016449
  • Filename
    6016449