A Two-Stage Semi-Supervised High Maneuvering Target Trajectory Data Classification Algorithm

A Two-Stage Semi-Supervised High Maneuvering Target Trajectory Data Classification Algorithm

Labeled data in insufficient amounts and missing categories are two observable features for high maneuvering target trajectory data. However, the existing research achievements are insufficient for solving these two problems simultaneously during data classification. This study proposed a two-stage...

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Bibliographic Details
Main Authors: Qing Li, Xintai He, Kun Chen, Qicheng Ouyang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
trajectory clustering
Siamese neural network
autoencoder
joint training
Online Access:https://www.mdpi.com/2076-3417/12/21/10979

Internet

https://www.mdpi.com/2076-3417/12/21/10979

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