A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior

A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior

Abnormal behavior detection is currently receiving much attention because of the availability of marine equipment and data allowing maritime agents to track vessels. One of the most popular tools for developing an efficient anomaly detection system is the Automatic Identification System (AIS). The a...

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Bibliographic Details
Main Authors: Farshad Farahnakian, Florent Nicolas, Fahimeh Farahnakian, Paavo Nevalainen, Javad Sheikh, Jukka Heikkonen, Csaba Raduly-Baka
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
maritime surveillance system
clustering methods
abnormal vessel behavior
machine learning
situational awareness
AIS data
Online Access:https://www.mdpi.com/2072-4292/15/6/1477

Internet

https://www.mdpi.com/2072-4292/15/6/1477

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