• DocumentCode
    3327247
  • Title

    Progressive SAR imaging technique

  • Author

    Wang, Kaizhi ; Liu, Xingzhao ; Yu, Wenxian ; Chen, Junli ; Chen, Guozhong

  • Author_Institution
    EE Dept., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4083
  • Lastpage
    4086
  • Abstract
    A progressive SAR imaging technique is proposed as a novel SAR raw data processing scheme in this paper. Different from the classic SAR imaging algorithms which focus the SAR raw data as a whole regardless of the backscattering signal, the novel scheme discriminate the backscattering signal and choose the proper ones to be focused progressively according to some application context while the others will be discarded. The new scheme makes the SAR imaging algorithm not only focus the energy back to the scattering points but also form an image more suitable for some special applications. In this paper, a realization of the scheme present via Atomic Decomposition (AD)[1]-[3]. AD helps estimate the parameters of backscattered signal of a scattering point and detach it from the raw data. With the parameters, the backscattering-signal can be reconstructed and focused. Targets or scatter-points in the scene will be imaged progressively in a sequence of their energy due to the greedy natural of matching pursuit employed during AD. Therefore, the contents in the final SAR image can be controlled by an energy threshold. Besides the interested targets can be extracted easily from the background clutter and this may be helpful for the SAR image understanding.
  • Keywords
    backscatter; parameter estimation; radar imaging; synthetic aperture radar; SAR imaging; SAR raw data processing; atomic decomposition; backscattering signal; parameter estimation; Azimuth; Chirp; Focusing; Matching pursuit algorithms; Radar polarimetry; Scattering; Time frequency analysis; Atomic decomposition; Progressive imaging technique; SAR imaging algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5651110
  • Filename
    5651110