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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Detalles Bibliográficos

Principais autores:	Shenghan Zhou, Zhao He, Xu Chen, Wenbing Chang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-05-01
Series:	Aerospace
Assuntos:	anomaly detection wavelet decomposition stacked denoising autoencoder (SDAE) UAV flight data
Acceso en liña:	https://www.mdpi.com/2226-4310/11/5/393
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