Underwater geometric target recognition based on information fusion of active electric field and pressure sensors

Yiran Duan; Qiao Hu; Tongqiang Fu; Xuhui Feng; Shuo Li

doi:10.1117/12.3034146

13 June 2024 Underwater geometric target recognition based on information fusion of active electric field and pressure sensors

Yiran Duan, Qiao Hu, Tongqiang Fu, Xuhui Feng, Shuo Li

Author Affiliations +

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131804M (2024) https://doi.org/10.1117/12.3034146
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

Underwater active electrical sensing and artificial lateral lines are inspired by weakly charged fish and fish lateral lines, respectively, to sense electrical and pressure information. Among the common detection techniques, acoustic detection of near-field targets produces serious reverberation, resulting in low detection accuracy. Optical sensors have high requirements for light and water quality, which is not suitable for near-field detection in dim and turbid waters. The fusion of flow field and electric field detection methods can achieve high resolution and stability. This paper is to provide a method for recognizing underwater targets of different shapes and sizes using active electric field and flow field sensing. We carry out simulations to verify the possibility of this method and design a composite array of corresponding pressure and electric field sensors for experiments. The experimental results demonstrate that the accuracy of multi-source sensor fusion identification exceeds 98%, significantly surpassing that of a single field.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yiran Duan, Qiao Hu, Tongqiang Fu, Xuhui Feng, and Shuo Li "Underwater geometric target recognition based on information fusion of active electric field and pressure sensors", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131804M (13 June 2024); https://doi.org/10.1117/12.3034146

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KEYWORDS

Electric fields

Sensors

Electric field sensors

Target recognition

Data fusion

Detector arrays

Feature extraction

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