Drone/Bird Classification Based on Features of Tracks Trajectories-Reference-Cited by-同舟云学术

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Drone/Bird Classification Based on Features of Tracks Trajectories

Published:2023-03-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Aerospace Conference
language:
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Author:

Kengeskanov Maksat¹,El Fallah Seghrouchni Amal²,Zitar Raed Abu³,Barbaresco Frederic⁴

Affiliation:

1. Thales/SCAI Research Associate Mohamed Bin Zayed University of Artificial Intelligence,Abu Dhabi,UAE

2. Mohammed VI Polytechnic University Ai movement Rabat, Morocco Sorbonne University,Paris,France

3. Thales/SCAI Senior Scientist Sorbonne University-Abu Dhabi,Abu Dhabi,UAE

4. Thales Group,Paris,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115529/10115530/10115762.pdf?arnumber=10115762

Reference30 articles.

1. Machine and Deep Learning for Drone Radar Recognition by Micro-Doppler and Kinematic criteria

2. Flying objects detection from a single moving camera

3. Single-Stage UAV Detection and Classification with YOLOV5: Mosaic Data Augmentation and PANet

4. Deep Learning and Information Geometry for Drone Micro-Doppler Radar Classification

5. Gabor filters and grey-level co-occurrence matrices in texture classification;tou;MMU International Symposium on Information and Communications Technologies,0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research for Drone Target Classification Method Using Deep Learning Techniques;Journal of the Korea Institute of Military Science and Technology;2024-04-05

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