• DocumentCode
    484545
  • Title

    Focusing SAR Data Acquired from Non-Linear Sensor Trajectories

  • Author

    Frey, Othmar ; Magnard, Christophe ; Rüegg, Maurice ; Meier, Erich

  • Author_Institution
    Remote Sensing Labs., Univ. of Zurich, Zurich
  • Volume
    4
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Standard focusing of SAR data assumes a straight recording track of the sensor platform. Small non-linearities of airborne platform tracks are corrected for during a motion compensation step while keeping the assumption of a linear flight path. In the following, the processing of SAR data from non-linear tracks is discussed as may originate from small aircraft or drones flying at low altitude. They fly not a straight track but one dependent on topography, influences of weather and wind, or dependent on the shape of dedicated areas of interest such as rivers or traffic routes. A time-domain back-projection based technique, is proposed and evaluated with the help of experimental data featuring a drop in height, a double bend, a 90-degree curve and a linear flight track. In order to assess the quality of the focused data, close-ups of amplitude images are compared and the coherence is evaluated. The experimental data was acquired by the German Aerospace Center´s E-SAR L-band system.
  • Keywords
    airborne radar; data acquisition; image processing; remote sensing by radar; synthetic aperture radar; terrain mapping; E-SAR L-band system; German Aerospace Center´s; SAR data acquisition; airborne platform tracks; aircraft fly; drones fly; linear flight path; linear flight track; motion compensation; nonlinear sensor trajectories; rivers; time-domain back-projection based technique; topography; traffic routes; weather influences; wind; Air traffic control; Aircraft; Focusing; Motion compensation; Rivers; Shape; Surfaces; Time domain analysis; Tracking; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779746
  • Filename
    4779746