Robust Learning with Noisy Ship Trajectories by Adaptive Noise Rate Estimation

Robust Learning with Noisy Ship Trajectories by Adaptive Noise Rate Estimation

Ship trajectory classification is of great significance for shipping analysis and marine security governance. However, in order to cover up their illegal fishing or espionage activities, some illicit ships will forge the ship type information in the Automatic Identification System (AIS), and this la...

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Bibliographic Details
Main Authors: Haoyu Yang, Mao Wang, Zhihao Chen, Kaiming Xiao, Xuan Li, Hongbin Huang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
AIS data
deep learning
trajectory classification
label noise
robustness
noise rate adaptive learning
Online Access:https://www.mdpi.com/1424-8220/23/15/6723

Internet

https://www.mdpi.com/1424-8220/23/15/6723

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