Predicting atmospheric refraction with weather modeling and machine learning

Wardeh Al-Younis, Christina Nevarez, David Voelz, Steven Sandoval, Sukanta Basu

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Abstract

This work details the analysis of time-lapse images with a point-tracking image processing approach along with the use of an extensive numerical weather model to investigate image displacement due to refraction. The model is applied to create refractive profile estimates along the optical path for the days of interest. Ray trace analysis through the model profiles is performed and comparisons are made with the measured displacement results. Additionally, a supervised machine learning algorithm is used to build a predictive model to estimate the apparent displacement of an object, based on a set of measured metrological values taken in the vicinity of the camera. The predicted results again are compared with the field-imagery ones.

Original languageEnglish
Title of host publicationLaser Communication and Propagation through the Atmosphere and Oceans VIII
EditorsJeremy P. Bos, Alexander M. J. van Eijk, Stephen Hammel
PublisherSPIE
Pages1-8
Number of pages8
ISBN (Electronic)9781510629592
DOIs
Publication statusPublished - 2019
EventLaser Communication and Propagation through the Atmosphere and Oceans VIII 2019 - San Diego, United States
Duration: 13 Aug 201915 Aug 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11133
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceLaser Communication and Propagation through the Atmosphere and Oceans VIII 2019
CountryUnited States
CitySan Diego
Period13/08/1915/08/19

Keywords

  • Atmospheric refraction
  • Machine learning algorithms
  • Remote mobile station
  • Time-lapse imaging
  • Weather modeling

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  • Cite this

    Al-Younis, W., Nevarez, C., Voelz, D., Sandoval, S., & Basu, S. (2019). Predicting atmospheric refraction with weather modeling and machine learning. In J. P. Bos, A. M. J. van Eijk, & S. Hammel (Eds.), Laser Communication and Propagation through the Atmosphere and Oceans VIII (pp. 1-8). [111330E] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11133). SPIE. https://doi.org/10.1117/12.2529533