• DocumentCode
    2192361
  • Title

    Slant-path generalized atmospheric MTF

  • Author

    Zilberman, A. ; Kopeika, N.S.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2008
  • fDate
    3-5 Dec. 2008
  • Firstpage
    217
  • Lastpage
    221
  • Abstract
    The quality of imaging systems is usually expressed using the modulation transfer function (MTF). MTF is also used to express the quality of transmitted images through a random medium. The resolution, as well as MTF, is essentially dependent on the properties of such media. Transmitted images are often affected by the presence of particulate matter (aerosol, dust, fog) and turbulence between object and receiver. It is usually assumed that the turbulent field is of the Kolmogorov type and, in imaging systems, the long- and short-exposure MTF characterization is based on this type of turbulence. However, experimental data indicates that the turbulence can be different from Kolmogorov´s case. Influence of Kolmogorov and non-Kolmogorov turbulence statistics on imaging system performance is analyzed for different propagation scenarios, and the generalized MTF is presented.
  • Keywords
    aerosols; atmospheric optics; atmospheric turbulence; statistics; Kolmogorov type; atmospheric turbulence; imaging systems; modulation transfer function; nonKolmogorov turbulence statistics; optical-image transmission; particulate matter; slant-path propagation; Aerosols; Optical attenuators; Optical distortion; Optical imaging; Optical receivers; Optical refraction; Optical scattering; Optical sensors; Optical variables control; System performance; Atmospheric turbulence; MTF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 2008. IEEEI 2008. IEEE 25th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4244-2481-8
  • Electronic_ISBN
    978-1-4244-2482-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2008.4736691
  • Filename
    4736691