Paper
5 November 2020 Inversion analysis of atmosphere turbulence profile from differential column image motion lidar
Author Affiliations +
Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 1156730 (2020) https://doi.org/10.1117/12.2580037
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
We develop differential column image motion (DCIM) lidar for monitoring atmosphere refractive structure constant Cn2 profile. It is important to use an appropriate regularization method for DCIM lidar since the ill-posedness of the integral equation between the Cn2 profile and the measured r0 profile. In this paper, three typical regularization methods are studied to retrieve the Cn2 profiles from r0 profiles.The experiments illustrate that the Tikhonov method and truncated SVD method perform good performance, while damped SVD shows poorer inversion accuracy.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhi Cheng, Li-xin He, Xin Zhang, Chao Mu, and Xu Jing "Inversion analysis of atmosphere turbulence profile from differential column image motion lidar", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 1156730 (5 November 2020); https://doi.org/10.1117/12.2580037
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
LIDAR

Atmospheric optics

Turbulence

Atmospheric turbulence

Signal to noise ratio

Atmospheric monitoring

Refractive index

Back to Top