• DocumentCode
    1665552
  • Title

    A ships data association algorithm based on the ships formation structure and ships attribute information

  • Author

    Zeng, Hao ; WANG, Zhuang

  • Author_Institution
    ATR State Key Lab., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • Firstpage
    2837
  • Lastpage
    2841
  • Abstract
    In order to use the spaceborne optical imaging and electronic reconnaissance data to monitor the ships formation, this paper proposes a target association matching algorithm based on the structure of ships formation and targetspsila attribute. Simulation results that this algorithm delivers better performance compared to the traditional method, in the situation that because of the sensors are sparse sampling and the targets location precision are greatly different so that can not be established to creation the targetspsila motion model.
  • Keywords
    object detection; sensor fusion; ships; target tracking; electronic reconnaissance data; ship attribute information; ship data association algorithm; ship formation structure; spaceborne optical imaging; sparse sampling; target association matching algorithm; target location precision; Condition monitoring; Image sensors; Marine vehicles; Optical imaging; Optical sensors; Reconnaissance; Sampling methods; Sensor phenomena and characterization; Space technology; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697738
  • Filename
    4697738