A ResNet1D-AttLSTM-Based Approach for Ship Trajectory Classification

To improve the feature extraction method for ship trajectories and enhance trajectory classification performance, this paper proposes a ship trajectory classification model that combines a one-dimensional residual network (ResNet1D) and an attention-based Long short-term memory network (AttLSTM). Th...

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Bibliografiske detaljer

Principais autores:	Jiankang Ke, Faxing Lu, Yifei Liu, Bing Fu
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-03-01
Serier:	Applied Sciences
Fag:	ship trajectory classification residual neural network (ResNet) long short-term memory network (LSTM) self-attention mechanism
Online adgang:	https://www.mdpi.com/2076-3417/15/7/3489
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