• DocumentCode
    3402877
  • Title

    A research of moving targets detection and imaging by SAR

  • Author

    Pan, Runhong ; Li, Gang ; Zhu, Xixing

  • Author_Institution
    Inst. of Electron., Acad. Sinica, Beijing, China
  • Volume
    1
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    498
  • Abstract
    The motivation for this work has come from the problem of providing high resolution images of moving targets by synthetic aperture radars (SAR). The paper investigates the application, of joint time-frequent distribution (TFD) for detection and estimation of target motion parameters. Three kinds of TFD-short time Fourier transform, wavelet transform and Wigner-Ville distributions (WVD) are discussed. The WVD is chosen because it presents some important feature concerning detection and estimation issues. Furthermore, the Hough transform is employed to suppress the disturbing crossterms resulting from the bilinear character of the WVD. The fast algorithm and the performance of the proposed approach are also studied. The simulation results show the effectiveness of the two algorithms
  • Keywords
    Fourier transforms; Hough transforms; Wigner distribution; geophysical signal processing; geophysical techniques; motion estimation; radar detection; radar imaging; remote sensing by radar; synthetic aperture radar; Hough transform; SAR; Wigner-Ville distribution; algorithm; geophysical measurement technique; high resolution image; joint time-frequent distribution; moving target detection; object motion; radar imaging; radar remote sensing; short time Fourier transform; synthetic aperture imaging; synthetic aperture radar; target motion parameters; wavelet transform; Computer vision; Fourier transforms; High-resolution imaging; Image resolution; Motion detection; Motion estimation; Object detection; Radar detection; Synthetic aperture radar; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.615926
  • Filename
    615926