RIASSUNTO
The need for increased global surveillance and enforcement efforts to combat Illegal, Unreported, Unregulated (IUU) fishing is well known. This paper describes the current research status in developing a novel technique of associating Automated Identification System (AIS) anti-collision messages to satellite vessel detects. Each detected ship image has a wealth of information which allows development of dark ship tracking and identification. A dark ship is a ship that is not broadcasting AIS. Ships involved in illegal activities often disable their AIS transmitter to avoid detection by authorities. Dark ship tracking and identification uses a deep similarity metrics to compare current and previous observations. If any of the previous observations have an identity, e.g. a known vessel on the international IUU watch-list, then the probability of its involvement in illegal activity is increased. Additional indicators of IUU activity such as frequent flag changes are combined in a probabilistic evaluation of accumulated evidence using local laws, rules, and regulations to render IUU assessments using commercially available imagery and data sources.