Convolutional Neural Networks for Drone Model Classification
Author:
Affiliation:
1. University of Birmingham,Microwave Integrated Systems Laboratory,Birmingham,UK
2. Plextek,Great Chesterford,Saffron Walden,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9784450/9784451/09784563.pdf?arnumber=9784563
Reference12 articles.
1. Deep learning based doppler radar for micro UAS detection and classification
2. A Comparison of Convolutional Neural Networks for Low SNR Radar Classification of Drones
3. SBR-dependent drone classification using convolutional neural networks;dale;IET Radar Sonar & Navigation,2021
4. Classification of drones based on micro-Doppler signatures with dual-band radar sensors
5. Application of machine learning for drone classification using radars
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3. Improved ResNet-50 based Low Altitude, Small RCS and Slow Speed Target Recognition;2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS);2023-09-22
4. A Review of Automatic Classification of Drones Using Radar: Key Considerations, Performance Evaluation and Prospects;IEEE Aerospace and Electronic Systems Magazine;2023
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