A Pattern Recognition Analysis of Vessel Trajectories

Article Oceanography

A semi-supervised deep learning approach for vessel trajectory classification based on AIS data

Hongda Duan et al.

Summary: This paper proposes a semi-supervised deep learning approach for vessel trajectory classification. Experimental results show that the approach can effectively extract feature representations from AIS messages and outperform traditional supervised learning methods. The study's approach and findings have important implications for researchers and stakeholders in the field of ocean management.

OCEAN & COASTAL MANAGEMENT (2022)

Add to Collection

Article Environmental Sciences

Identification of Fishing Vessel Types and Analysis of Seasonal Activities in the Northern South China Sea Based on AIS Data: A Case Study of 2018

Yanan Guan et al.

Summary: This study successfully identified fishing vessel types using a large amount of AIS tracking data and a LightGBM model, showing that Chinese fishing vessels in the northern South China Sea move northward with seasonal changes in activity hotspots. Additionally, Chinese fishing vessels exhibited lower fishing intensity during fishing moratorium months and traditional Chinese holidays.

REMOTE SENSING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence