A Study of Multi-Step Sparse Vessel Trajectory Restoration Based on Feature Correlation

To address the issue of data integrity and reliability caused by sparse vessel trajectory data, this paper proposes a multi-step restoration method for sparse vessel trajectory based on feature correlation. First, we preserved the overall trend of the trajectory by detecting and marking the sparse a...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Lin Ye, Xiaohui Chen, Haiyan Liu, Ran Zhang, Jia Li, Chuanwei Lu, Yunpeng Zhao
Format:	Article
Language:	English
Published:	MDPI AG 2024-05-01
Subjects:	sparse trajectory restoration feature correlation indicator construction trajectory sparsity and anomaly detection Seq2Seq neural network
Online Access:	https://www.mdpi.com/2076-3417/14/10/4057