Contrastive Transformer Network for Track Segment Association with Two-Stage Online Method

Contrastive Transformer Network for Track Segment Association with Two-Stage Online Method

Interrupted and multi-source track segment association (TSA) are two key challenges in target trajectory research within radar data processing. Traditional methods often rely on simplistic assumptions about target motion and statistical techniques for track association, leading to problems such as u...

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Bibliographic Details
Main Authors: Zongqing Cao, Bing Liu, Jianchao Yang, Ke Tan, Zheng Dai, Xingyu Lu, Hong Gu
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Remote Sensing
Subjects:
radar data processing
track segment association
contrastive learning
transformer encoder
online association
Online Access:https://www.mdpi.com/2072-4292/16/18/3380

Internet

https://www.mdpi.com/2072-4292/16/18/3380

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