Advancing Marine Surveillance: A Hybrid Approach of Physics Infused Neural Network for Enhanced Vessel Tracking Using Automatic Identification System Data

Advancing Marine Surveillance: A Hybrid Approach of Physics Infused Neural Network for Enhanced Vessel Tracking Using Automatic Identification System Data

In the domain of maritime surveillance, the continuous tracking and monitoring of vessels are imperative for the early detection of potential threats. The Automatic Identification System (AIS) database, which collects vessel movement data over time, including timestamps and other motion details, pla...

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Bibliographic Details
Main Authors: Tasmiah Haque, Md Asif Bin Syed, Srinjoy Das, Imtiaz Ahmed
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Journal of Marine Science and Engineering
Subjects:
maritime track association
neural networks
deep learning
automatic identification system
multi-object tracking
physics infused neural network
Online Access:https://www.mdpi.com/2077-1312/12/11/1913
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