• DocumentCode
    2980108
  • Title

    Optimal projection space method for SAR target recognition

  • Author

    Chang, Ming ; Su, Zhi-gang ; Wu, Ren-biao ; Han, Ping

  • Author_Institution
    Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    464
  • Lastpage
    467
  • Abstract
    Automatic target recognition technique, based on the projections in the samples range space, can be availably used in SAR target recognition. It requires that the relativity between the range spaces of different targets should be minimal. However, the relativity between the corresponding range spaces is very big if the different targets have similar appearance and structure, which will considerably reduce the recognition performance. So, it is essential to construct new projection spaces from the range spaces of similar targets, so as to enlarge projection difference. In this paper, an efficient method for constructing the optimal projection space is proposed. The proposed method can effectively enlarge the difference between similar targets by the projections in the optimal projection space. Experimental results show that the optimal projection space can greatly increase the separability between different similar targets, and is superior to other classical methods in both recognition performance and efficiency.
  • Keywords
    radar target recognition; synthetic aperture radar; SAR target recognition; automatic target recognition; optimal projection space method; recognition performance; samples range space; Data mining; Eigenvalues and eigenfunctions; Feature extraction; Image reconstruction; Pixel; Radar imaging; Radar signal processing; Space technology; Spaceborne radar; Target recognition; Automatic Target Recognition; Projection Space; Synthetic Aperture Radar;
  • 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.2009.5374130
  • Filename
    5374130