Abnormal behavior detection of ships in river T-intersection area based on shore-based surveillance radar data

Kun Xu; Liang Xia

doi:10.1117/12.2683218

26 June 2023 Abnormal behavior detection of ships in river T-intersection area based on shore-based surveillance radar data

Kun Xu, Liang Xia

Author Affiliations +

Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 127141C (2023) https://doi.org/10.1117/12.2683218
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China

Abstract

Abnormal behavior detection of ships is very important to improve navigation efficiency and ensure navigation safety. Most of studies focus on the abnormal behavior detection of ships sailing on a river or sea. However, not much attention is paid to the T-intersection area of the Yangtze River inland waterway. In this paper, a method which uses shore-based surveillance radar data is proposed to detect abnormal behavior of ships in river T-intersection area. In order to realize the identification of illegal behavior of ships in river T-intersection area, we establish the definition model of judgment regions and the detection model of ship behavior. Compared with the traditional method based on AIS data, the proposed method achieves higher accuracy and better engineering adaptability.

Citation Download Citation

Kun Xu and Liang Xia "Abnormal behavior detection of ships in river T-intersection area based on shore-based surveillance radar data", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 127141C (26 June 2023); https://doi.org/10.1117/12.2683218

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