• DocumentCode
    2494408
  • Title

    Detection of wind velocities from scintillation images

  • Author

    Mohr, J.L. ; Johnston, R.A. ; Cottrell, P.L.

  • Author_Institution
    Dept. of Phys. & Astron., Univ. of Canterbury, Christchurch
  • fYear
    2008
  • fDate
    26-28 Nov. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    SCIDAR (SCIntillation Detection And Ranging) has been used at various sites around the world to characterise turbulence strength. However little focus has been given to finding average wind velocity, V (h), from SCIDAR data. Current methods rely on the detection of full spatio-temporal covariance profiles, containing a triplet pattern associated with each turbulent layer present. A new technique for finding V (h) from noisy scintillation covariance images using a modified CLEAN algorithm has been developed to handle partial spatio-temporal covariance profiles. The application of the new algorithm to data collected from Mount John University Observatory is demonstrated.
  • Keywords
    atmospheric optics; atmospheric turbulence; scintillation; wind; CLEAN algorithm; SCIDAR; scintillation detection; scintillation images; scintillation ranging; spatiotemporal covariance profiles; turbulence; wind velocities; Adaptive optics; Atmosphere; Atmospheric measurements; Diffraction; Focusing; Observatories; Optical distortion; Solid scintillation detectors; Telescopes; Wind speed; SCIDAR; atmospheric turbulence; wind velocity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-3780-1
  • Electronic_ISBN
    978-1-4244-2583-9
  • Type

    conf

  • DOI
    10.1109/IVCNZ.2008.4762089
  • Filename
    4762089