Josset D, Cayula S, Concannon B, Sova S, Weidemann A
Opt Express. 2024 Jun 3;32(12):20881-20903. doi: 10.1364/OE.515936.
This paper presents the NRL shipboard LiDAR and the first LiDAR dataset of underwater bubbles. The meaning of these LiDAR observations, the algorithms used and their current limitations are discussed. The derivation of the LiDAR multiple scattering regime is derived from the LiDAR observations and theory. The detection of the underwater bubble presence and their depth is straightforward to estimate from the depolarized laser return. This dataset strongly suggest that the whitecaps term in the LiDAR equation formalism needs to be revisited. The retrieval of the fraction of air volume within a given volume of water (void fraction) is possible and the algorithm is stable with a simple ocean backscatter LiDAR system. The accuracy of the void fraction retrieval will increase significantly with future developments.
本文介绍了美国海军研究实验室(NRL)的舰载激光雷达以及首个水下气泡激光雷达数据集。讨论了这些激光雷达观测结果的意义、所使用的算法及其当前局限性。激光雷达多次散射 regime 的推导是基于激光雷达观测和理论得出的。从去偏振激光回波中可以直接估计水下气泡的存在及其深度。该数据集有力地表明,激光雷达方程形式中的白帽项需要重新审视。利用简单的海洋后向散射激光雷达系统可以实现对给定水体中空气体积分数(空隙率)的反演,并且该算法是稳定的。随着未来的发展,空隙率反演的精度将显著提高。