Automatic Quantification of Atmospheric Turbulence Intensity in Space-Time Domain
Quantifying atmospheric turbulence intensity is a challenging task, particularly when assessing real-world scenarios. In this paper, we propose a deep learning method for quantifying atmospheric turbulence intensity based on the space-time domain analysis from videos depicting different turbulence l...
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| Main Authors: | Damián Gulich, Myrian Tebaldi, Daniel Sierra-Sosa |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/5/1483 |
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