Image shift due to atmospheric refraction: prediction by numerical weather modeling and machine learning

Author:

Al-Younis Wardeh1,Nevarez Christina1,Abdullah-Al-Mamun Mohammad1,Sandoval Steven1,Basu Sukanta2,Voelz David1

Affiliation:

1. New Mexico State University, Klipsch School of Electrical and Computer Engineering, Las Cruces, New

2. Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust Learning for Autonomous Driving Perception Tasks in Cyber-Physical-Social Systems;2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI);2023-11-07

2. Correction and Analysis of Turbulence Effects in Time-Lapse Images Using Optical Flow Registration;Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP);2023

3. A Physics-Guided Machine Learning Model for the Prediction of Atmospheric Refraction;Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP);2022

4. Beam trajectory studies of diurnal refraction effects for a near-ground path involving numerical weather prediction and time-lapse imaging measurements;Laser Communication and Propagation through the Atmosphere and Oceans X;2021-08-01

5. Extended analysis of atmospheric refraction effects captured by time-lapse imaging: long-term trends and machine learning image shift prediction;Laser Communication and Propagation through the Atmosphere and Oceans X;2021-08-01

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