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Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks
With the upsurge in the use of Unmanned Aerial Vehicles (UAVs) in various fields, detecting and identifying them in real-time are becoming important topics. However, the identification of UAVs is difficult due to their characteristics such as low altitude, slow speed, and small radar cross-section (...
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| Publicado en: | Sensors (Basel) |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7795548/ https://ncbi.nlm.nih.gov/pubmed/33396245 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21010210 |
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