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Introduction Illicit maritime activities frequently involve "dark" vessels that disable or manipulate their Automatic Identification System (AIS) signals to evade detection. This study evaluates the effectiveness of Synthetic Aperture Radar (SAR) and Optical imagery for vessel detection using both “manual” and automated Deep Learning (DL) methods while integrating AIS data to validate, i
