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Underwater Acoustic Target Recognition Based on Depthwise Separable Convolution Neural Networks

Facing the complex marine environment, it is extremely challenging to conduct underwater acoustic target feature extraction and recognition using ship-radiated noise. In this paper, firstly, taking the one-dimensional time-domain raw signal of the ship as the input of the model, a new deep neural ne...

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Detalles Bibliográficos
Autores principales:	Hu, Gang, Wang, Kejun, Liu, Liangliang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922821/ https://www.ncbi.nlm.nih.gov/pubmed/33670677 http://dx.doi.org/10.3390/s21041429

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