Research on Ship Trajectory Classification Based on a Deep Convolutional Neural Network

Research on Ship Trajectory Classification Based on a Deep Convolutional Neural Network

With the aim of solving the problems of ship trajectory classification and channel identification, a ship trajectory classification method based on deep a convolutional neural network is proposed. First, the ship trajectory data are preprocessed using the improved QuickBundle clustering algorithm. T...

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Dades bibliogràfiques
Autors principals: Tao Guo, Lei Xie
Format: Article
Idioma:English
Publicat: MDPI AG 2022-04-01
Col·lecció:Journal of Marine Science and Engineering
Matèries:
inland waterway transportation
AIS data
trajectory classification
clustering
deep convolutional neural network
Accés en línia:https://www.mdpi.com/2077-1312/10/5/568

Internet

https://www.mdpi.com/2077-1312/10/5/568

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