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22 August 2020 Profiling atmospheric turbulence using dual-camera imagery of non-cooperative targets
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Phase-based techniques to measure atmospheric turbulence have potential advantages when used over long ranges since they do not suffer from saturation issues as the irradiance-based techniques. The present work uses time-lapse imagery of a non-cooperative target from two spatially separated cameras to extract turbulence distribution along a path. By measuring the differential motion of pairs of extended features on the target, sensed by a single camera or between cameras, turbulence profiles can be obtained. Tracking the motion of extended features rather than point features allows estimation over a longer range. The approach uses a derived set of path weighting functions for differential tilt variances. The mathematical framework is discussed and the technique is applied to images collected of a multi-story building. Turbulence profiles over different slant paths are extracted from features at multiple levels of the building. This work will ultimately help in a better understanding of how turbulence varies with altitude in the surface layer.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Santasri Bose-Pillai, Benjamin Wilson, Jonathan Krone, Aaron Archibald, Brannon Elmore, Jack McCrae, and Steven Fiorino "Profiling atmospheric turbulence using dual-camera imagery of non-cooperative targets", Proc. SPIE 11506, Laser Communication and Propagation through the Atmosphere and Oceans IX, 115060J (22 August 2020);

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