Semi-analytical Monte Carlo simulation of lidar underwater target

Yifan Huang; Yan He; Xiaolei Zhu; Yongqiang Chen

doi:10.1117/12.3007528

24 November 2023 Semi-analytical Monte Carlo simulation of lidar underwater target

Yifan Huang, Yan He, Xiaolei Zhu, Yongqiang Chen

Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 1293523 (2023) https://doi.org/10.1117/12.3007528
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China

Abstract

Airborne Lidar Bathymetry measures ocean depth by transmitting 532nm wavelength lasers and recording the return energy and moment of the laser echo, and is an important means of acquiring the topography of coastal zones and shallow seas. Since underwater targets can also reflect the emitted laser, bathymetric lidar holds promise for underwater target detection. However, most of the existing echo simulation models for laser underwater transmission are for full field-of-view (FOV) and flat terrain, but there are few echo simulation models for hovering targets with sizes smaller than the FOV. Therefore, we combined the ray tracing and semi-analytical Montecarlo methods to simulate the laser echo energy of underwater targets. The model combined the speed advantage of the semi-analytical Montecarlo method with the ability to simulate echoes of underwater targets of arbitrary shapes. In order to simulate bathymetric lidar echoes under real operating conditions, the model also included simulations of the scanning mode and surface waves. The trend of the echo energy of an underwater target within the field of view with the deviation distance from the line-of-sight axis was investigated, and the results showed that even if the underwater target is deviated from the main axis, there is still an obvious target echo due to the scattering of the laser in the water, and the echo energy is weakened with the increase of the depth. The waves can make the ideal refraction direction change, which has a great impact on the quality of the scanned point cloud.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yifan Huang, Yan He, Xiaolei Zhu, and Yongqiang Chen "Semi-analytical Monte Carlo simulation of lidar underwater target", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 1293523 (24 November 2023); https://doi.org/10.1117/12.3007528

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KEYWORDS

Submerged target modeling

LIDAR

Photons

Point clouds

Water

Monte Carlo methods

Optical simulations

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