|
|
|
|
|
Dimitrios Kaklis, Ioannis Kontopoulos, Iraklis Varlamis, Ioannis Z. Emiris and Takis Varelas
Trajectory data holds pivotal importance in the shipping industry and transcend their significance in various domains, including transportation, health care, tourism, surveillance, and security. In the maritime domain, improved predictions for estimated ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenbo Zhou, Bin Li and Guoling Luo
Low-visibility maritime image enhancement is essential for maritime surveillance in extreme weathers. However, traditional methods merely optimize contrast while ignoring image features and color recovery, which leads to subpar enhancement outcomes. The ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sungan Yoon, Ahmad Jalal and Jeongho Cho
|
|
|
|
|
|
|
|
|
|
|
Kristoffer Vinther Olesen, Ahcène Boubekki, Michael C. Kampffmeyer, Robert Jenssen, Anders Nymark Christensen, Sune Hørlück and Line H. Clemmensen
The analysis of maritime traffic patterns for safety and security purposes is increasing in importance and, hence, Vessel Traffic Service operators need efficient and contextualized tools for the detection of abnormal maritime behavior. Current models la...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nakhyeon Seong, Jeongseon Kim and Sungsu Lim
This paper presents a novel machine learning-based approach for detecting abnormal ship movements using CCTV videos. Our method utilizes graph-based algorithms to analyze ship trajectories and identify anomalies, with a focus on enhancing maritime safety...
ver más
|
|
|
|
|
|
|
|
|
|
|
Miro Petkovic, Igor Vujovic, Zvonimir Lu?ic and Jo?ko ?oda
Automated surveillance systems based on machine learning and computer vision constantly evolve to improve shipping and assist port authorities. The data obtained can be used for port and port property surveillance, traffic density analysis, maritime safe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kathiravan Thangavel, Pablo Servidia, Roberto Sabatini, Pier Marzocca, Haytham Fayek, Santiago Husain Cerruti, Martin España and Dario Spiller
Space-based Earth Observation (EO) systems have undergone a continuous evolution in the twenty-first century. With the help of space-based Maritime Domain Awareness (MDA), specially Automatic Identification Systems (AIS), their applicability across the w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zihao Liu, Zhaolin Wu, Zhongyi Zheng, Xianda Yu, Xiaoxuan Bu and Wenjun Zhang
In recent years, the increasing volume and complexity of ship traffic has raised the probability of collision accidents in ports, waterways, and coastal waters. Due to the relative rarity of collision accidents, near misses have been used in the research...
ver más
|
|
|
|
|
|
|
|
|
|
|
Syed Agha Hassnain Mohsan, Yanlong Li, Muhammad Sadiq, Junwei Liang and Muhammad Asghar Khan
Oceans cover more than 70% of the Earth?s surface. For various reasons, almost 95% of these areas remain unexplored. Underwater wireless communication (UWC) has widespread applications, including real-time aquatic data collection, naval surveillance, nat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ying Yang, Ran Yan and Shuaian Wang
Maritime transportation plays a significant role in international trade and the global supply chain. To enhance maritime safety and reduce pollution to the marine environment, various regulations and conventions are proposed by international organization...
ver más
|
|
|
|
|
|