Track-to-track association from diverse source ship trajectory based on an improved graph neural network

With the development of maritime surveillance technologies, large volumes of ship trajectory data have been collected through various monitoring methods. The accuracy of targets tracking can be significantly improved by associating these trajectories, particularly in cases of partial equipment monit...

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Bibliografiske detaljer

Principais autores:	Jiangnan Zhang, Zhenxing Liu, Yanhai Gan, Yongshuo Liu, Junyu Dong
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2025-06-01
Serier:	Applied Ocean Research
Fag:	Ship trajectory data from diverse source Ship target tracking Track-to-track association Multi-graph neural network Cross-Attention mechanism
Online adgang:	http://www.sciencedirect.com/science/article/pii/S0141118725001853
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