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Ferlansyah, N. and Suharjito, S. (2020) Une revue systématique de la littérature sur les méthodes de détection du comportement des anomalies des navires basées sur le système d’identification automatique (AIS) et une autre fusion de capteurs. Advances in Sciences, Technology and Engineering Systems Journal, 5, 287-292.

has been cited by the following article:

• TITLE: Contribution of SAR Radar Imagery in the Detection of Suspicious Vessels in the Ivorian EEZ

  AUTHORS: Koffi Cyprien Yoboue, Jean-Baptiste Kassi, Eric Valère Djagoua, Tiemelé Jacque-André

  KEYWORDS: INN Fishing, CFAR Algorithm, AIS, Sentinel-1A, Ivory Coast

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.12 No.1, February 27, 2024

  ABSTRACT: The present work proposed a method for match SAR and AIS data to detect vessels carrying out suspicious activity in the Ivorian EEZ. Two superposition methods, detected AIS and SAR data, based on point-to-point association on the one hand and point-to-line on the other hand, were used to detect suspicious vessels in Ivorian marine waters. The results showed that most vessels detected in the Ivorian EEZ do not declare their positions to avoid being spotted. These funds are likely to practice illegal, undeclared and unregulated fishing (INN fishing). This clandestine activity is very recurrent in Ivorian waters. This is illustrated by the number of suspicious vessels detected by SAR radar imagery which is greater compared to declared or authorized vessels.