An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder

An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder

The paper proposes an anomaly detection method for UAVs based on wavelet decomposition and stacked denoising autoencoder. This method takes the negative impact of noisy data and the feature extraction capabilities of deep learning models into account. It aims to improve the accuracy of the proposed...

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Bibliographic Details
Main Authors: Shenghan Zhou, Zhao He, Xu Chen, Wenbing Chang
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Aerospace
Subjects:
anomaly detection
wavelet decomposition
stacked denoising autoencoder (SDAE)
UAV flight data
Online Access:https://www.mdpi.com/2226-4310/11/5/393

Internet

https://www.mdpi.com/2226-4310/11/5/393

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