• DocumentCode
    2979994
  • Title

    Synthetic aperture radar identification based on information fusion

  • Author

    Nan, Li ; Changwen, Qu ; Feng, Su ; Dianfa, Ping

  • Author_Institution
    Electron. & Inf. Eng. Dept, Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    481
  • Lastpage
    484
  • Abstract
    In this paper, a novel method based on data fusion for identifying synthetic aperture radar is introduced. Basic probability assignment function obtaining of D-S evidence theory is a difficult problem. The method of obtaining BPAF based on feature parameters resemble is proposed. The synthetic aperture radar identification fusion model based on obtaining BPAF method is constructed and synthetic aperture radar identification experiments are done. Results show that obtaining BPAF method of this paper is effective. New identification model performs much better than template matching model.
  • Keywords
    image matching; probability; sensor fusion; synthetic aperture radar; D-S evidence theory; basic probability assignment function; feature parameter resemble; information fusion; synthetic aperture radar identification; template matching model; Extraterrestrial measurements; Frequency diversity; Frequency measurement; Radar imaging; Radar measurements; Radar theory; Radio frequency; Radiofrequency identification; Synthetic aperture radar; Writing; Evidence theory; Information fusion; SAR identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
  • Conference_Location
    Xian, Shanxi
  • Print_ISBN
    978-1-4244-2731-4
  • Electronic_ISBN
    978-1-4244-2732-1
  • Type

    conf

  • DOI
    10.1109/APSAR.2009.5374125
  • Filename
    5374125