Research on inversion method of diffuse attenuation coefficient of ocean LiDAR

LEI Ziang; YANG Song; SHEN Zhenmin; SUN Qian; ZHANG Jinghao; ZHENG Yongchao

doi:10.7510/jgjs.issn.1001-3806.2024.03.019

LASER TECHNOLOGY > 2024 > 48(3): 425-431. > DOI: 10.7510/jgjs.issn.1001-3806.2024.03.019

LEI Ziang, YANG Song, SHEN Zhenmin, SUN Qian, ZHANG Jinghao, ZHENG Yongchao. Research on inversion method of diffuse attenuation coefficient of ocean LiDAR[J]. LASER TECHNOLOGY, 2024, 48(3): 425-431. DOI: 10.7510/jgjs.issn.1001-3806.2024.03.019

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Research on inversion method of diffuse attenuation coefficient of ocean LiDAR

1.
Beijing Institute of Space Mechanics & Electricity, China Academy of Space Technology, Beijing 100094, China
2.
Key Laboratory for Space Laser Information Perception Technology, China Academy of Space Technology, Beijing 100094, China

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Received Date: April 26, 2023
Revised Date: June 05, 2023
Published Date: May 24, 2024

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Abstract

Abstract

In order to solve the problem that the inversion of the diffusion attenuation coefficient K_d relies on in-situ measurement data, a fusion algorithm based on Klett and Fernald algorithm was proposed in order to inverse K_d. The fusion algorithm was based on the inversion results of the Klett algorithm and calculated the light detection and ranging (LiDAR) ratio as prior information for the Fernald algorithm. Furthermore, the Fernald method was used to inverse the more accurate diffusion attenuation coefficient K_d. In order to solve the problem of insufficient measured signal data, a mathematical analytic model was used as the simulation data source of the fusion algorithm. Finally, based on the self-developed dual-frequency LiDAR system, the effectiveness of the simulated signal was verified through comparison with trial data. The root mean square error of the K_d value obtained by fusion algorithm inversion was 0.74 m^-1, which was better than the traditional Klett method and Fernald method. The experimental results show that the proposed fusion algorithm can achieve the convergence and accuracy requirements for the inversion of the diffuse attenuation coefficient K_d and can quickly calculate the LiDAR ratio without prior information about the in-situ environment. This research is helpful to the bathymetry of shallow water and the measurement of optical parameters of ocean profiles.

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References

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