CrossRef Text and Data Mining
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Efficient Classification of Birds and Drones Considering Real Observation Scenarios Using FMCW Radar
Se-Won Yoon, Soo-Bum Kim, Joo-Ho Jung, Sang-Bin Cha, Young-Seok Baek, Bon-Tae Koo, In-Oh Choi, Sang-Hong Park
J. Electromagn. Eng. Sci. 2021;21(4):270-281.   Published online September 30, 2021
DOI: https://doi.org/10.26866/jees.2021.4.r.34

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Efficient Classification of Birds and Drones Considering Real Observation Scenarios Using FMCW Radar
Journal of Electromagnetic Engineering and Science. 2021;21(4):270-281   Crossref logo
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2020 IEEE Radar Conference (RadarConf20). 2020;   Crossref logo
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Moving Target Classification with a Dual Automotive FMCW Radar System Using Convolutional Neural Networks
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Classification of drones and birds using convolutional neural networks applied to radar micro‚ÄźDoppler spectrogram images
IET Radar, Sonar & Navigation. 2020;14(5):653-661   Crossref logo
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LSTM Based Classification of Targets using FMCW Radar Signals
2021 29th Signal Processing and Communications Applications Conference (SIU). 2021;   Crossref logo
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An Initial Investigation into Using Convolutional Neural Networks for Classification of Drones
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2019 27th Signal Processing and Communications Applications Conference (SIU). 2019;   Crossref logo
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2022 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT). 2022;   Crossref logo
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