Research on inversion method of diffuse attenuation coefficient of ocean LiDAR
In order to solve the problem that the inversion of the diffusion attenuation coefficient Kd relies on in-situ measurement data,a fusion algorithm based on Klett and Fernald algorithm was proposed in order to inverse Kd.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 Kd.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 Kd 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 Kd 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.
oceanic opticsocean light detection and ranginglight detection and ranging ratiowater diffuse attenuation coefficientKlett algorithmFernald algorithm
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