Maritime anomaly detection: A review
The surveillance of large sea areas normally requires the analysis of large volumes of
heterogeneous, multidimensional and dynamic sensor data, in order to improve vessel traffic …
heterogeneous, multidimensional and dynamic sensor data, in order to improve vessel traffic …
Spatiotemporal event detection: A review
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …
social sensing, and health sensing, have tremendously improved our capability to observe …
Complex event recognition in the big data era: a survey
The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …
various application fields. Events report on state changes of a system and its environment …
Spatio-temporal vessel trajectory clustering based on data mapping and density
Automatic identification systems (AISs) serve as a complement to radar systems, and they
have been installed and widely used onboard ships to identify targets and improve …
have been installed and widely used onboard ships to identify targets and improve …
A dimensionality reduction-based multi-step clustering method for robust vessel trajectory analysis
The Shipboard Automatic Identification System (AIS) is crucial for navigation safety and
maritime surveillance, data mining and pattern analysis of AIS information have attracted …
maritime surveillance, data mining and pattern analysis of AIS information have attracted …
AIS data driven general vessel destination prediction: A random forest based approach
Shipping is one of the major transportation approaches around the world. With the growing
demands for global shipping service, vessel destination prediction has shown its significant …
demands for global shipping service, vessel destination prediction has shown its significant …
A method for simplifying ship trajectory based on improved Douglas–Peucker algorithm
L Zhao, G Shi - Ocean Engineering, 2018 - Elsevier
Automatic identification system (AIS) can provide massive ship trajectory data that is
valuable for mining information in water traffic. However, large sizes lead to difficulties in …
valuable for mining information in water traffic. However, large sizes lead to difficulties in …
AIS trajectory simplification algorithm considering ship behaviours
Z Wei, X Xie, X Zhang - Ocean Engineering, 2020 - Elsevier
With the establishment of satellite constellations and terrestrial networks of Automatic
Identification System (AIS) receivers, an increasing number of ship trajectories have become …
Identification System (AIS) receivers, an increasing number of ship trajectories have become …
Adaptive douglas-peucker algorithm with automatic thresholding for AIS-based vessel trajectory compression
Automatic identification system (AIS) is an important part of perfecting terrestrial networks,
radar systems and satellite constellations. It has been widely used in vessel traffic service …
radar systems and satellite constellations. It has been widely used in vessel traffic service …
Predicting ship trajectory based on neural networks using AIS data
TA Volkova, YE Balykina, A Bespalov - Journal of Marine Science and …, 2021 - mdpi.com
To create an autonomously moving vessel, it is necessary to know exactly how to determine
the current coordinates of the vessel in the selected coordinate system, determine the actual …
the current coordinates of the vessel in the selected coordinate system, determine the actual …