IH-TCGAN: Time-Series Conditional Generative Adversarial Network with Improved Hausdorff Distance for Synthesizing Intention Recognition Data

IH-TCGAN: Time-Series Conditional Generative Adversarial Network with Improved Hausdorff Distance for Synthesizing Intention Recognition Data

As military technology continues to evolve and the amount of situational information available on the battlefield continues to increase, data-driven deep learning methods are becoming the primary method for air target intention recognition. Deep learning is based on a large amount of high quality da...

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Bibliographic Details
Main Authors: Siyuan Wang, Gang Wang, Qiang Fu, Yafei Song, Jiayi Liu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Entropy
Subjects:
intention recognition
multivariate time series
data augmentation
generative adversarial network
Hausdorff distance
Online Access:https://www.mdpi.com/1099-4300/25/5/781

Internet

https://www.mdpi.com/1099-4300/25/5/781

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