Underwater Acoustic Target Recognition Based on Attention Residual Network

Underwater acoustic target recognition is very complex due to the lack of labeled data sets, the complexity of the marine environment, and the interference of background noise. In order to enhance it, we propose an attention-based residual network recognition method (AResnet). The method can be used...

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Detalles Bibliográficos
Autores principales: Li, Juan, Wang, Baoxiang, Cui, Xuerong, Li, Shibao, Liu, Jianhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688950/
https://www.ncbi.nlm.nih.gov/pubmed/36421512
http://dx.doi.org/10.3390/e24111657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688950/
https://www.ncbi.nlm.nih.gov/pubmed/36421512
http://dx.doi.org/10.3390/e24111657

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