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The objective of this study is to explore the feasibility and accuracy of image subtraction for estimating optical turbulence. The proposed approach involves creating a differential image by subtracting consecutive recorded frames. Post processing techniques are applied to the differential image, allowing temporal changes caused directly by turbulence to be identified. Image subtraction was implemented in python and evaluated against traditional turbulence instruments such as a Scintec BLS2000 and a MZA DELTA.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Anthony C. Eppley,Matthew B. Salfer-Hobbs,Thomas J. Miletich, andRobert F. Crabbs
"Investigation of edge tracking via image subtraction for refractive index structure parameter estimation", Proc. SPIE 12691, Laser Communication and Propagation through the Atmosphere and Oceans XII, 1269102 (3 October 2023); https://doi.org/10.1117/12.2677641
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Anthony C. Eppley, Matthew B. Salfer-Hobbs, Thomas J. Miletich, Robert F. Crabbs, "Investigation of edge tracking via image subtraction for refractive index structure parameter estimation," Proc. SPIE 12691, Laser Communication and Propagation through the Atmosphere and Oceans XII, 1269102 (3 October 2023); https://doi.org/10.1117/12.2677641