Influence of noise on model selection in geoacoustic parameter inversion

Yangyang Xue; Haoli Wang; Hanhao Zhu; Chao Chen; Zhiqiang Cui; Qile Wang

doi:10.1117/12.2660267

22 November 2022 Influence of noise on model selection in geoacoustic parameter inversion

Yangyang Xue, Haoli Wang, Hanhao Zhu, Chao Chen, Zhiqiang Cui, Qile Wang

Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124750Y (2022) https://doi.org/10.1117/12.2660267
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China

Abstract

Noise is an interference in the inversion process. To analyze its influence on the model selection in the inversion, this paper selects a uniform seabed model with a layered structure through simulation and uses the fast field method (FFM) to conduct acoustic field calculate. The transmission loss (TL) calculated by the acoustic field is added to the Gaussian noise as the research object, and the acoustic speed, density and acoustic speed attenuation are the inversion objects. The inversion results show that, after adding noise, the inversion method established in this paper can accurately achieve model selection, and the Root Mean Square Error (RMSE) within 0.95, it is verified that the inversion method still has strong anti-noise and accuracy under the influence of noise.

Citation Download Citation

Yangyang Xue, Haoli Wang, Hanhao Zhu, Chao Chen, Zhiqiang Cui, and Qile Wang "Influence of noise on model selection in geoacoustic parameter inversion", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124750Y (22 November 2022); https://doi.org/10.1117/12.2660267

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