Estimation of atmospheric turbulence using differential motion of extended features in time-lapse imagery

Santasri R. Bose-Pillai; Jack E. McCrae; Christopher A. Rice; Ryan A. Wood; Connor E. Murphy; Steven T. Fiorino

doi:10.1117/1.OE.57.10.104108

20 October 2018 Estimation of atmospheric turbulence using differential motion of extended features in time-lapse imagery

Santasri R. Bose-Pillai, Jack E. McCrae, Christopher A. Rice, Ryan A. Wood, Connor E. Murphy, Steven T. Fiorino

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Optical Engineering, Vol. 57, Issue 10, 104108 (October 2018). https://doi.org/10.1117/1.OE.57.10.104108

Abstract

Accurate characterization of atmospheric turbulence is useful for performance assessment of optical systems operating in real environments and for designing systems to mitigate turbulence effects. Irradiance-based techniques such as scintillometry, suffer from saturation, and hence commercial scintillometers have limited operational ranges. A method to estimate turbulence parameters, such as path weighted Cn2 and Fried’s coherence diameter r₀ from turbulence-induced random, differential motion of extended features in the time-lapse imagery of a distant target is presented. Since the method is phase-based, it can be applied to longer paths. It has an added advantage of remotely sensing turbulence without the need for deployment of sensors at the target location. The approach uses a derived set of path weighting functions that drop to zero at both ends of the imaging path, the peak location depending on the size of the imaging aperture, and the relative sizes and separations of the features whose motions are being tracked. Using different sized features separated by different amounts, a rich set of weighting functions can be obtained. These weighting functions can be linearly combined to approximate a desired weighting function such as that of a scintillometer or that of r₀ in inhomogeneous turbulence. The time-lapse measurements can thus mimic the measurements of a scintillometer or any other instrument. The method is applied to images captured along two different paths, and the estimates are compared to co-located scintillometer measurements.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Santasri R. Bose-Pillai, Jack E. McCrae, Christopher A. Rice, Ryan A. Wood, Connor E. Murphy, and Steven T. Fiorino "Estimation of atmospheric turbulence using differential motion of extended features in time-lapse imagery," Optical Engineering 57(10), 104108 (20 October 2018). https://doi.org/10.1117/1.OE.57.10.104108

Received: 12 June 2018; Accepted: 2 October 2018; Published: 20 October 2018

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