Physics-based model of imaging of biometrics data through atmospheric turbulence

O. Korotkova; D. Raveh; K. O. Bastian; D. Voelz; R. Narayanswamy; A. Smith; M. King

doi:10.1364/AOA.2022.JF1B.3

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper JF1B.3
•https://doi.org/10.1364/AOA.2022.JF1B.3

Physics-based model of imaging of biometrics data through atmospheric turbulence

O. Korotkova, D. Raveh, K. O. Bastian, D. Voelz, R. Narayanswamy, A. Smith, and M. King

Propagation Through and Characterization of Atmospheric and Oceanic Phenomena 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-09-8

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Wavefront Sensing and Turbulence II (Joint AO and pcAOP) (JF1B)

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O. Korotkova, D. Raveh, K. O. Bastian, D. Voelz, R. Narayanswamy, A. Smith, and M. King, "Physics-based model of imaging of biometrics data through atmospheric turbulence," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper JF1B.3.

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Abstract

Physics-based modeling and a computer simulation of the modulation transfer functions of the near-ground atmospheric channel is developed for imaging human biometrics data over a sub-kilometer range along horizontal and slant paths.

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