MGFGNet: an automatic underwater acoustic target recognition method based on the multi-gradient flow global feature enhancement network

The recognition of underwater acoustic targets plays a crucial role in marine vessel monitoring. However, traditional underwater target recognition models suffer from limitations, including low recognition accuracy and slow prediction speed. To address these challenges, this article introduces a nov...

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Bibliographic Details

Published in:	Frontiers in Marine Science
Main Authors:	Zhe Chen, Jianxun Tang, Hongbin Qiu, Mingsong Chen
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-12-01
Subjects:	underwater acoustic target recognition underwater acoustic signal processing feature enhancement deep learning feature fusion
Online Access:	https://www.frontiersin.org/articles/10.3389/fmars.2023.1306229/full