• DocumentCode
    33185
  • Title

    Smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar imagery

  • Author

    Garren, David Alan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA, USA
  • Volume
    8
  • Issue
    5
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    435
  • Lastpage
    448
  • Abstract
    This study develops a methodology for analytically predicting the detailed smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar (SAR) imagery. The radar sensor is assumed to move with constant speed and heading on a level flight path with broadside imaging geometry. Cases of uniform target motion exhibit morphology of simply curved smear shapes, as has been reported previously. However, the present analysis shows that non-uniform target motion can cause complicated smear shapes in spotlight SAR imagery. Specifically, the method of stationary phase is applied to local subaperture SAR images to yield analytic non-parametric expressions for the morphology of smear signatures within spotlight SAR imagery for surface targets with arbitrary motion trajectories. This predictive capability offers the potential of extracting some characteristics of true target motion based upon the induced SAR smear signatures alone.
  • Keywords
    geometry; image motion analysis; mathematical morphology; object detection; radar imaging; synthetic aperture radar; analytic nonparametric expressions; arbitrary motion trajectories; broadside imaging geometry; curved smear shapes morphology; level flight path; local subaperture SAR images; nonuniform target motion; predictive capability; radar sensor; smear signature morphology; spotlight SAR imagery; spotlight synthetic aperture radar imagery; stationary phase; surface targets;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2013.0169
  • Filename
    6824665