Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
Author:
Affiliation:
1. School of Navigation, Wuhan University of Technology, Wuhan, China
2. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10304348/10159572.pdf?arnumber=10159572
Reference45 articles.
1. A deep attention mechanism method for maritime salient ship detection in complex sea background
2. Simple online and realtime tracking with a deep association metric
3. Target detection in synthetic aperture radar imagery: A state-of-the-art survey;el-darymli;J Appl Remote Sens,2013
4. An enhanced SiamMask network for coastal ship tracking;xi;IEEE Trans Geosci Remote Sens,2022
5. Visual ship tracking via a hybrid kernelized correlation filter and anomaly cleansing framework
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