Atmospheric Turbulence Study with Deep Machine Learning of Intensity Scintillation Patterns

Atmospheric Turbulence Study with Deep Machine Learning of Intensity Scintillation Patterns

A new paradigm for machine learning-inspired atmospheric turbulence sensing is developed and applied to predict the atmospheric turbulence refractive index structure parameter using deep neural network (DNN)-based processing of short-exposure laser beam intensity scintillation patterns obtained with...

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Bibliographic Details
Main Authors: Artem M. Vorontsov, Mikhail A. Vorontsov, Grigorii A. Filimonov, Ernst Polnau
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
atmospheric remote sensing
directed energy
free-space laser communication
adaptive optics
lidars
active imaging
Online Access:https://www.mdpi.com/2076-3417/10/22/8136

Internet

https://www.mdpi.com/2076-3417/10/22/8136

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