• DocumentCode
    573972
  • Title

    2D Imaging algorithm of spaceborne SAR based on compressive sensing

  • Author

    Zhang, Jian ; Zhu, Lidong ; Guo, Yantao ; Gou, Xiaogang

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., UESTC, Chengdu, China
  • fYear
    2012
  • fDate
    27-30 May 2012
  • Firstpage
    600
  • Lastpage
    603
  • Abstract
    To reduce the data transmission load of spaceborne SAR, this paper proposes a 2D imaging scheme based on compressive sensing (CS). First the sparse characteristics of spaceborne SAR echoes are analyzed, and then the echoes´ sparse model and the targets´ restore matrix are established. The minimum l1 norm algorithm is used to reconstruct the compressed data in distance and azimuth dimensions, and at last the low-load, high-resolution image is got. The simulation results prove the validity of the algorithm.
  • Keywords
    data compression; image resolution; radar imaging; synthetic aperture radar; 2D imaging algorithm; azimuth dimensions; compressed data; compressive sensing; high-resolution image; spaceborne SAR; Azimuth; Imaging; Radar imaging; Scattering; Signal processing algorithms; Spaceborne radar; 2D-Radar imaging; Compressive Sensing (CS); SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Millimeter Waves (GSMM), 2012 5th Global Symposium on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1302-5
  • Type

    conf

  • DOI
    10.1109/GSMM.2012.6314410
  • Filename
    6314410
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=573972