Advancing atmospheric boundary layer turbulence monitoring through high-temporal-resolution neuromorphic vision
Abstract
Neuromorphic cameras characterize atmospheric boundary layer turbulence by capturing beam wandering and scintillation at microsecond resolution, extracting Cn2 and Hurst exponents that reveal departures from Kolmogorov models with greater temporal precision than conventional instruments. © Optica Publishing Group 2025 © 2025 The Author(s)
Más información
| Título de la Revista: | Propagation Through and Characterization of Atmospheric and Oceanic Phenomena - Proceedings Optica Imaging Congress 2025 |
| Editorial: | Optical Society of America |
| Fecha de publicación: | 2025 |
| Idioma: | English |
| DOI: |
10.1364/PCAOP.2025.PTu1E.3 |