Generalizable Underwater Acoustic Target Recognition Using Feature Extraction Module of Neural Network

Generalizable Underwater Acoustic Target Recognition Using Feature Extraction Module of Neural Network

The underwater acoustic target signal is affected by factors such as the underwater environment and the ship’s working conditions, causing the generalization of the recognition model is essential. This study is devoted to improving the generalization of recognition models, proposing a feature extrac...

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Bibliographic Details
Main Authors: Daihui Li, Feng Liu, Tongsheng Shen, Liang Chen, Xiaodan Yang, Dexin Zhao
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
underwater acoustics target recognition
deep learning
time-frequency analysis
feature extraction
data analysis
Online Access:https://www.mdpi.com/2076-3417/12/21/10804

Internet

https://www.mdpi.com/2076-3417/12/21/10804

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