• DocumentCode
    1063434
  • Title

    Reconnaissance with slant plane circular SAR imaging

  • Author

    Soumekh, Mehrdad

  • Author_Institution
    Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
  • Volume
    5
  • Issue
    8
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    1252
  • Lastpage
    1265
  • Abstract
    This paper presents a method for imaging from the slant plane data collected by a synthetic aperture radar (SAR) over the full rotation or a partial segment of a circular flight path. A Fourier analysis for the Green´s function of the imaging system is provided. This analysis is the basis of an inversion for slant plane circular SAR data. The reconstruction algorithm and resolution for this SAR system are outlined. It is shown that the slant plane circular SAR, unlike the slant plane linear SAR, has the capability to extract three-dimensional imaging information of a target scene. The merits of the algorithm are demonstrated via a simulated target whose ultra wideband foliage penetrating (FOPEN) or ground penetrating (GPEN) ultrahigh frequency (UHF) radar signature varies with the radar´s aspect angle
  • Keywords
    Fourier analysis; Fourier transforms; Green´s function methods; image reconstruction; image resolution; inverse problems; radar imaging; synthetic aperture radar; Fourier analysis; Green´s function; SAR data inversion; SAR system; aspect angle; circular flight path; full rotation; ground penetrating UHF radar signature; image resolution; imaging system; partial segment; reconnaissance; reconstruction algorithm; simulated target; slant plane circular SAR imaging; slant plane data; slant plane linear SAR; synthetic aperture radar; target scene; three-dimensional imaging; ultrawideband foliage penetrating radar signature; Green´s function methods; Ground penetrating radar; Image analysis; Image segmentation; Radar imaging; Radar polarimetry; Reconnaissance; Reconstruction algorithms; Synthetic aperture radar; Ultra wideband radar;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.506760
  • Filename
    506760