• DocumentCode
    3495071
  • Title

    Constrained optimal interferometric imaging of extended objects

  • Author

    Rao, Raghuveer M. ; Himed, Braham

  • Author_Institution
    Air Force Res. Lab, Rome, NY
  • fYear
    2005
  • fDate
    1-1 Dec. 2005
  • Lastpage
    57
  • Abstract
    Correlative interferometry has been proposed for terahertz imaging in applications such as standoff detection of concealed explosives. It offers the advantage of low cost image reconstruction in the pupil plane given the current unavailability of ready-to-use focal plane imaging technology at these wavelengths. Current interferometric approaches are based on finding the inverse Fourier transform of the spatial correlation computed from field measurements at a distance. This paper proposes an image reconstruction approach that provides a constrained least squares fit between computed autocorrelation from sensor measurements and the expression for the far field autocorrelation for extended objects and line arrays
  • Keywords
    Fourier transforms; electromagnetic wave interferometry; image reconstruction; least squares approximations; military systems; submillimetre wave imaging; weapons; computed autocorrelation; concealed explosives; constrained interferometric imaging; constrained least squares fit; correlative interferometry; far field correlation; image reconstruction; inverse Fourier transform; least squares method; optimal interferometric imaging; sensor measurements; spatial correlation; standoff detection; terahertz imaging; Autocorrelation; Costs; Explosives; Fourier transforms; Image reconstruction; Interferometry; Optical imaging; Sensor arrays; Submillimeter wave technology; Wavelength measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery and Pattern Recognition Workshop, 2005. Proceedings. 34th
  • Conference_Location
    Washington, DC
  • ISSN
    1550-5219
  • Print_ISBN
    0-7695-2479-6
  • Type

    conf

  • DOI
    10.1109/AIPR.2005.23
  • Filename
    1612800