Zobrazeno 1 - 10
of 895
pro vyhledávání: '"automatic identification system (AIS)"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 6, Pp 2048-2075 (2024)
Recognition of ship traffic patterns can provide insights into the rules of navigation, maneuvering, and collision avoidance for ships at sea. This is essential for ensuring safe navigation at sea and improving navigational efficiency. With the popul
Externí odkaz:
https://doaj.org/article/bfaf4c6274574e97a992f24e23c04d8d
Autor:
An, Jiyoon
Publikováno v:
Maritime Business Review, 2024, Vol. 9, Issue 3, pp. 229-242.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MABR-10-2023-0069
Autor:
Britt van Leeuwen, Maike Nutzel
Publikováno v:
Machine Learning with Applications, Vol 18, Iss , Pp 100590- (2024)
Maritime security is of tremendous importance in countering drug trafficking, particularly through sea-based routes. In this paper, we address the pressing need for effective detection methods by introducing a novel approach utilizing Automatic Ident
Externí odkaz:
https://doaj.org/article/2771046e97da462aaaf4a4eb3e0a217e
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The rapid development of maritime transport and the gradual increase in the number of ports, ships and shipping routes can produce direct economic benefits for regional development, and a profound grasp of the actual situation of maritime transport m
Externí odkaz:
https://doaj.org/article/d61c3590c00142d7b94b9fa4233a2c1d
Publikováno v:
EPJ Data Science, Vol 13, Iss 1, Pp 1-13 (2024)
Abstract Automated positioning devices can generate large datasets with information on the movement of humans, animals and objects, revealing patterns of movement, hot spots and overlaps among others. However, in the case of Automated Information Sys
Externí odkaz:
https://doaj.org/article/e4a53ab94385444eae2391b067115c4d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18703-18726 (2024)
Accurate geolocation of maritime objects in satellite imagery is challenging due to geometric distortions, atmospheric conditions, and sensor inaccuracies in low-Earth orbit satellites. This study presents a novel automatic identification system (AIS
Externí odkaz:
https://doaj.org/article/dfbf0dabd0ee43189993da5896fb7bbd
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 1193-1214 (2024)
With the advancement of satellite and 5G communication technologies, vehicles can transmit and exchange data from anywhere in the world. It has resulted in the generation of massive spatial trajectories, particularly from the Automatic Identification
Externí odkaz:
https://doaj.org/article/4946b25a774446e18d64c576058ed310
Publikováno v:
IEEE Access, Vol 12, Pp 92718-92732 (2024)
This study addresses the challenges of effectively reflecting maritime traffic flows in Korea’s MSP. Maritime traffic intensity zones were identified through a spatio-temporal density analysis and the application of standardization techniques. This
Externí odkaz:
https://doaj.org/article/78127af5d18d4ea695f39494f0da68a0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6045-6054 (2024)
Satellite imagery has become a fundamental part for maritime monitoring and safety. Correctly estimating a ship's identity is a vital tool. We present a method based on facial recognition for identifying ships in satellite images. A large ship datase
Externí odkaz:
https://doaj.org/article/2be7a0dbc6304d5ab13f62a8d027794c
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1875 (2024)
Accurate prediction of ship traffic flow is essential for developing intelligent maritime transportation systems. To address the complexity of ship traffic flow data in the port and the challenges of capturing its dynamic spatiotemporal dependencies,
Externí odkaz:
https://doaj.org/article/efb0c8170ca64743ba09ac9980df8518