• DocumentCode
    2289349
  • Title

    A synthetical pose estimation of SAR imagery using Hough transform and 2-D continuous wavelet transform

  • Author

    Xin, Ning ; Wang, Guo-hong ; Zhang, Jing

  • Author_Institution
    Res. Inst. of Inf. Fusion, Naval Aeronaut. Eng. Inst., Yantai
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    SAR target recognition close relates to target pose. When the pose of target is confirmed, the computational complexity can be deduced, which can increase the recognition probability greatly. Hough transform is an efficient approach to recognize the target pose. But, in general, Hough transform can obtain many poses for a single SAR target. The right pose can´t be obtained only using Hough transform. In order to resolve this problem, in this paper, the angular energy density of 2-D continuous wavelet transform combined with Hough Transform is proposed. Many experimental results of MSTAR public target database show that this method is feasible and it can obtain the pose correctly
  • Keywords
    Hough transforms; computational complexity; pose estimation; probability; radar imaging; radar target recognition; synthetic aperture radar; wavelet transforms; 2-D continuous wavelet transform; Hough transform; MSTAR public target database; SAR target recognition; angular energy density; computational complexity; recognition probability; synthetic aperture radar imagery; synthetical pose estimation; Aerospace engineering; Computational complexity; Continuous wavelet transforms; Energy resolution; Equations; Image databases; Pixel; Radar detection; Target recognition; Wavelet transforms; 2-D continuous wavelet transform; Hough transform; SAR; pose estimation; the angular energy density;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343503
  • Filename
    4148202