Underwater Target Recognition Method Based on Singular Spectrum Analysis and Channel Attention Convolutional Neural Network

In order to improve the efficiency of the deep network model in processing the radiated noise signals of underwater acoustic targets, this paper introduces a Singular Spectrum Analysis and Channel Attention Convolutional Neural Network (SSA-CACNN) model. The front end of the model is designed as an...

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Auteurs principaux:	Fang Ji, Shaoqing Lu, Junshuai Ni, Ziming Li, Weijia Feng
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-04-01
Collection:	Sensors
Sujets:	underwater acoustic target recognition singular spectrum analysis channel attention mechanism convolutional neural network
Accès en ligne:	https://www.mdpi.com/1424-8220/25/8/2573
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