The growth of big data and its popularity in maritime surveillance has increased at an exponential rate. The amount of maritime information being collected every minute around the world exceeds the capacity of traditional databases. The development of real-time, Geospatial Web Applications e.g., MarineTraffic and VesselFinder AIS vessel tracking web sites, provide us with huge sets of structured and unstructured data that are too complex for traditional data-processing software. The aim of this paper is to exploit the benefits of query and mashup amounts of maritime data using mashup tools as a result to create a single, unique visualization. The results show that using mashup techniques in maritime surveillance could be used to monitor, compare, combine, manipulate and analyse Big Maritime data. Therefore, research on Maritime Data offers a huge potential and an opportunity to benefit from the advantages.
Remote sensing is considered as an increasingly important technology for maritime surveillance. The process of maritime surveillance for safety is critical for every country. The need for information on migrant movements by sea using different sizes and types of vessels is of paramount significance. Such information is essential for the search and rescue (SaR) operations of unauthorised migrants. The aim of this paper is to show how to detect migrant vessels in the Cyprus Region using freely available Sentinel-1 SAR data. The comparison was made using open source available migrant data and Sentinel-1 SAR acquisitions. Sentinel-1 SAR images were used to investigate three Areas of Interest (AoI). The main AoI is located at the Northwest coasts, whilst the second area includes the Southeast coasts of Cyprus. The results indicate that the Sentinel-1 SAR data can provide decisionmakers with effective results and spatial information on migration routes.
Maritime surveillance is of critical importance for threat prevention and maintenance of national security and safety. Maritime traffic comprises worldwide navigation of millions of vessels. In this sense, the geostrategic position of Cyprus entails the need for effective monitoring of marine traffic. Remote Sensing is a technique, which enables maritime surveillance by means of space-based detection and identification of marine traffic. The advent of new satellite missions, such as Sentinel-1, enabled the acquisition of systematic datasets for monitoring vessels. Using the Copernicus Open Access Hub service, it is now feasible to access satellite data in a fully automated and near real-time mode and deliver vessel information through a web portal interface. Nevertheless, there is still a great need to understand the full potential of the information acquired from such sensors. In this paper, an overview of vessel tracking techniques using Sentinel acquisitions is carried out. Consequently, vessel detections via space imagery could be authenticated against Automatic Identification System (AIS) data, which provide the location and dimensions of ships that are legally operating in the Cyprus region.
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