Affiliation:
1. Washington Business Office, Riverside Research Institute, Arlington, VA 22202, USA
Abstract
As commercial geospatial intelligence data becomes more widely available, algorithms using artificial intelligence need to be created to analyze it. Maritime traffic is annually increasing in volume, and with it the number of anomalous events that might be of interest to law enforcement agencies, governments, and militaries. This work proposes a data fusion pipeline that uses a mixture of artificial intelligence and traditional algorithms to identify ships at sea and classify their behavior. A fusion process of visual spectrum satellite imagery and automatic identification system (AIS) data was used to identify ships. Further, this fused data was further integrated with additional information about the ship’s environment to help classify each ship’s behavior to a meaningful degree. This type of contextual information included things such as exclusive economic zone boundaries, locations of pipelines and undersea cables, and the local weather. Behaviors such as illegal fishing, trans-shipment, and spoofing are identified by the framework using freely or cheaply accessible data from places such as Google Earth, the United States Coast Guard, etc. The pipeline is the first of its kind to go beyond the typical ship identification process to help aid analysts in identifying tangible behaviors and reducing the human workload.
Funder
Riverside Research Institute
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference80 articles.
1. Increased Maritime Traffic in the Arctic: Implications for Governance of Arctic Sea Routes;Boylan;Mar. Policy,2021
2. Fisheries Decline, Local Livelihoods and Conflicted Governance: An Indonesian Case;Warren;Ocean Coast. Manag.,2021
3. Gladkikh, T., Séraphin, H., Gladkikh, V., and Vo-Thanh, T. (2022). Luxury Yachting, Springer International Publishing.
4. Market Demand, Routine Activity, and Illegal Fishing: An Empirical Test of Routine Activity Theory in Iran;Petrossian;Deviant Behav.,2021
5. Varied Incident Rates of Global Maritime Piracy: Toward a Model for State Policy Change;Regan;Int. Crim. Justice Rev.,2022