Methods of Machine Learning for Space Object Pattern Classification-Reference-Cited by-同舟云学术

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Methods of Machine Learning for Space Object Pattern Classification

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE National Aerospace and Electronics Conference (NAECON)
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Author:

Shen Dan,Lu Jingyang,Chen Genshe,Blasch Erik,Sheaff Carolyn,Pugh Mark,Pham Khanh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9035665/9057794/09058182.pdf?arnumber=9058182

Cited by 10 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 Advancements in Artificial Intelligence for Space Situational Awareness;2023 13th International Conference on Information Science and Technology (ICIST);2023-12-08

2. SCB-GAN: A High-Quality Small Celestial Body Surface Image Synthesis Method;IEEE Transactions on Aerospace and Electronic Systems;2023-12

3. A Data-driven Method for Realistic Covariance Prediction of Space Object with Sparse Tracking Data;Research in Astronomy and Astrophysics;2023-07-11

4. Positioning with Starlink LEO Satellites: A Blind Doppler Spectral Approach;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

5. Multi-Constellation Blind Beacon Estimation, Doppler Tracking, and Opportunistic Positioning with OneWeb, Starlink, Iridium NEXT, and Orbcomm LEO Satellites;2023 IEEE/ION Position, Location and Navigation Symposium (PLANS);2023-04-24

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