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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Κύριοι συγγραφείς:	Fang Ji, Shaoqing Lu, Junshuai Ni, Ziming Li, Weijia Feng
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-04-01
Σειρά:	Sensors
Θέματα:	underwater acoustic target recognition singular spectrum analysis channel attention mechanism convolutional neural network
Διαθέσιμο Online:	https://www.mdpi.com/1424-8220/25/8/2573
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