Ship Classification and Anomaly Detection Based on Spaceborne AIS Data Considering Behavior Characteristics.

Yan, Zhenguo; Song, Xin; Zhong, Hanyang; Yang, Lei; Wang, Yitao

Yan, Zhenguo; Song, Xin; Zhong, Hanyang; Yang, Lei; Wang, Yitao.

Afiliación

Yan Z; College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China.
Song X; College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China.
Zhong H; College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China.
Yang L; College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China.
Wang Y; College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China.

Sensors (Basel) ; 22(20)2022 Oct 11.

Article en En | MEDLINE | ID: mdl-36298063

Asunto(s)

Navíos

Palabras clave

anomaly detection; maritime surveillance; ship behavior characteristics; ship classification; spaceborne AIS

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Navíos Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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