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...
| Autori principali: | , , , |
|---|---|
| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
MDPI AG
2024-05-01
|
| Serie: | Aerospace |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2226-4310/11/5/393 |