• DocumentCode
    3692851
  • Title

    Compressive sensing for RADARSAT-2 tomography

  • Author

    David Kirkland

  • Author_Institution
    Defence Research and Development Canada - Ottawa Research Centre, Canada
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    234
  • Lastpage
    238
  • Abstract
    Satellite Synthetic Aperture Radar (SAR) systems can achieve vertical resolution by using multiple platform passes to create a synthetic aperture in the elevation direction. Often the distribution of the orbits is not optimal for traditional forms of tomographic processing. Due to the random nature of the orbit positions and the relatively small number of measurements, a compressive sensing (CS) approach for achieving vertical resolution is utilized to determine the likely achievable performance of RADARSAT-2 (R2) in tomographic operation.
  • Keywords
    "Satellites","Standards","Synthetic aperture radar","Compressed sensing","Signal to noise ratio","Apertures","Tomography"
  • Publisher
    ieee
  • Conference_Titel
    Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015 3rd International Workshop on
  • Type

    conf

  • DOI
    10.1109/CoSeRa.2015.7330299
  • Filename
    7330299