• DocumentCode
    1597088
  • Title

    A Novel Data Fusion Method Applied in Radar Imaging Matching Position

  • Author

    Wang Xinguo ; Li Aihua ; Shan Bin

  • Author_Institution
    Xi´an Res. Inst. of Hi-Tech Hongqing Town, Xi´an, China
  • fYear
    2012
  • Firstpage
    992
  • Lastpage
    994
  • Abstract
    How to improve position precision via fusing radar multi-position data in radar imaging matching is one of research focus. In order to resolve the problem, a novel data fusion method called STCF (Space-Time Crossing Fusion) method is proposed. The method is fusing the associated data which is mined in the position results, in other words, the STCF fuse all the template position data in a single matching position firstly, which is called space fusion, then fuse the different time point positions given by radar imaging matching system, which is called time fusion. A simulation is presented, and the results show that the proposed method can improve the position precision.
  • Keywords
    image fusion; image matching; radar imaging; STCF; radar imaging matching position; radar multiposition data fusion method; space-time crossing fusion method; template position data fusion; Data models; Equations; Fuses; Imaging; Mathematical model; Radar imaging; Date Fusion; Imaging Matching; Position; Radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.511
  • Filename
    6173370