An imaging-based approach to measure atmospheric turbulence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)
Link
https://www.nature.com/articles/s43588-023-00501-7.pdf
Reference5 articles.
1. Dutton, J. A. & Panofsky, H. A. Clear air turbulence: A mystery may be unfolding: High altitude turbulence poses serious problems for aviation and atmospheric science. Science 167, 937–944 (1970). This article introduces the importance of atmospheric turbulence for aviation and atmospheric science and points out that careful measurements and data processing are needed to understand it.
2. Browning, K. & Watkins, C. Observations of clear air turbulence by high power radar. Nature 227, 260–263 (1970). This article presents the vertical soundings of atmospheric turbulence using a high-power radar.
3. Sathe, A. & Mann, J. A review of turbulence measurements using ground-based wind lidars. Atmos. Meas. Tech. 6, 3147–3167 (2013). A review article that summarizes turbulence measurements obtained using ground-based wind lidars.
4. Zhu, X. & Milanfar, P. Removing atmospheric turbulence via space-invariant deconvolution. IEEE T. Pattern. Anal. 35, 157–170 (2012). This article presents a method that restores a clear image from an image sequence distorted by atmospheric turbulence using multi-frame registration and fusion.
5. Jin, D. et al. Neutralizing the impact of atmospheric turbulence on complex scene imaging via deep learning. Nat. Mach. Intell. 3, 876–884 (2021). This article presents a deep learning-based method that neutralizes the effects of atmospheric turbulence on imaging data.
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