[HTML][HTML] Visualization and visual analysis of vessel trajectory data: A survey

H Liu, X Chen, Y Wang, B Zhang, Y Chen, Y Zhao… - Visual Informatics, 2021 - Elsevier
Maritime transports play a critical role in international trade and commerce. Massive vessels
sailing around the world continuously generate vessel trajectory data that contain rich …

Building navigation networks from multi-vessel trajectory data

I Varlamis, I Kontopoulos, K Tserpes, M Etemad… - GeoInformatica, 2021 - Springer
Building a rich and informative model from raw data is a hard but valuable process with
many applications. Ship routing and scheduling are two essential operations in the maritime …

A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels

MD Ferreira, G Spadon, A Soares, S Matwin - Sensors, 2022 - mdpi.com
Automatic Identification System (AIS) messages are useful for tracking vessel activity across
oceans worldwide using radio links and satellite transceivers. Such data play a significant …

A trajectory scoring tool for local anomaly detection in maritime traffic using visual analytics

FHO Abreu, A Soares, FV Paulovich… - … International Journal of …, 2021 - mdpi.com
With the recent increase in the use of sea transportation, the importance of maritime
surveillance for detecting unusual vessel behavior related to several illegal activities has …

SSRLM: A self-supervised representation learning method for identifying one ship with multi-MMSI codes

Y Sun, Y Zhao, Z Hu, W Wu, J Xia, Y Wang - Ocean Engineering, 2024 - Elsevier
It is of great practical significance for maritime safety and shipping development to achieve
“One Ship with One Maritime Mobile Service Identity (MMSI) Code” in accordance with …

SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels

M Etemad, A Soares, E Etemad, J Rose, L Torgo… - GeoInformatica, 2021 - Springer
Trajectory mining aims to provide fundamental insights into decision-making tasks related to
moving objects. A fundamental pre-processing step for trajectory mining is trajectory …

Understanding evolution of maritime networks from automatic identification system data

E Carlini, VM de Lira, A Soares, M Etemad, B Brandoli… - GeoInformatica, 2022 - Springer
Recent studies on maritime traffic model the interplay between vessels and ports as a graph,
which is often built using automatic identification system (AIS) data. However, only a few …

Internet of Things data visualization for business intelligence

S Attar-Khorasani, R Chalmeta - Big data, 2024 - liebertpub.com
This study contributes to the research on Internet of Things data visualization for business
intelligence processes, an area of growing interest to scholars, by conducting a systematic …

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea

B Brandoli, A Raffaetà, M Simeoni, P Adibi, FK Bappee… - GeoInformatica, 2022 - Springer
In this paper we model spatio-temporal data describing the fishing activities in the Northern
Adriatic Sea over four years. We build, implement and analyze a database based on the …

Challenges in vessel behavior and anomaly detection: From classical machine learning to deep learning

L May Petry, A Soares, V Bogorny, B Brandoli… - Advances in Artificial …, 2020 - Springer
The global expansion of maritime activities and the development of the Automatic
Identification System (AIS) have driven the advances in maritime monitoring systems in the …