The Role of Target Signatures in Bird-Drone Classification-Reference-Cited by-同舟云学术

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The Role of Target Signatures in Bird-Drone Classification

Published:2023-05-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Radar Conference (RadarConf23)
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Author:

Atkinson George¹,Jahangir Mohammed¹,White Daniel¹,Wayman Joseph²,Baker Chris³,Sadler Jon²,Reynolds James S.⁴,Antoniou Michail¹

Affiliation:

1. University of Birmingham,Microwave Integrated Systems Laboratory (MISL),Birmingham,UK

2. School of Geography, University of Birmingham,Earth and Environmental Sciences,Birmingham,UK

3. School of Engineering, University of Birmingham,Birmingham,UK

4. School of Biosciences, University of Birmingham,Birmingham,UK

Funder

National Quantum Technology

EPSRC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10149457/10149458/10149665.pdf?arnumber=10149665

Reference14 articles.

1. SNR‐dependent drone classification using convolutional neural networks

2. Estimating physical parameters from multi-rotor drone spectrograms

3. Radar micro-Doppler signatures of drones and birds at K-band and W-band

4. Measurements of Birds and Drones with L-Band Staring Radar

5. Multi-rotor Drone Micro-Doppler Simulation Incorporating Genuine Motor Speeds and Validation with L-band Staring Radar

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