• DocumentCode
    3541024
  • Title

    Compressive sensing and 3-D radar imaging

  • Author

    Stuff, Mark ; Thelen, Brian ; Garbarino, Joseph ; Subotic, Nikola

  • Author_Institution
    Michigan Tech Res. Inst. (MTRI), Ann Arbor, MI, USA
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    540
  • Lastpage
    543
  • Abstract
    Nonstandard image formation methods can enable fully three-dimensional fine resolution radar images of some objects of interest to be constructed from certain types of sparsely sampled three-dimensional apertures, which contain too little collected data to support traditional imaging methods. Such three-dimensional image products provide more target information than traditional SAR and ISAR imagery, and eliminate most of the difficulties associated with interpretation, mensuration, and recognition that result from overlay effects, self shadowing, scaling and viewing angle uncertainties.
  • Keywords
    compressed sensing; image recognition; image reconstruction; image resolution; radar imaging; 3D resolution radar imaging; ISAR imagery; compressive sensing; nonstandard image formation method; overlay effect; scaling angle uncertainty; self shadowing; sparsely sampled three-dimensional aperture; target information; three-dimensional resolution radar imaging; viewing angle uncertainty; Apertures; Compressed sensing; Image reconstruction; Radar imaging; Rendering (computer graphics); Surface reconstruction; ISAR; SAR; sparse aperture imaging; three-dimensional imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2012 IEEE
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-0182-4
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/SSP.2012.6319754
  • Filename
    6319754