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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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2025-06-01
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| Серія: | Applied Ocean Research |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S0141118725001853 |
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