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.