• DocumentCode
    2192615
  • Title

    A novel nonparametric method of ground moving target indication based on bi-channel SAR-ATI

  • Author

    Zheng, Mingjie ; Yang, Ruliang ; Wang, Robert ; Ni, Jiang

  • Author_Institution
    Inst. of Electron., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3999
  • Lastpage
    4002
  • Abstract
    The paper proposes a nonparametric method for ground moving-target indication (GMTI) using along-track interferometric synthetic aperture radar (SAR), which does not require the theoretical derivations of the joint probability density function of the interferometric magnitude and phase for both homogeneous and heterogeneous clutter. In the proposed approach, a best-fit curve is set as the detection threshold to separate moving targets from clutter and noise. A special technique, termed sliding-window technique, is then employed to reduce residual clutter and noise. The validity of the method has been demonstrated by the experiments performed on simulated spaceborne SAR data.
  • Keywords
    image denoising; interference suppression; object detection; probability; radar clutter; radar detection; radar interferometry; spaceborne radar; synthetic aperture radar; GMTI; along-track interferometric synthetic aperture radar; best-fit curve; bichannel SAR-ATI; detection threshold; ground moving target indication; heterogeneous clutter; homogeneous clutter; interferometric magnitude; joint probability density function; noise reduction; nonparametric method; residual clutter reduction; sliding-window technique; spaceborne SAR data; Clutter; Histograms; Joints; Noise; Probability density function; Spaceborne radar; Synthetic aperture radar; Along-track Interferometry (ATI); ground moving- target indication (GMTI); nonparametric; synthetic aperture radar(SAR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350533
  • Filename
    6350533