End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements
- DOI
- 10.1038/s41598-026-62280-1
- Published
- 2026-07-15
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62280-1,
title = {End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements},
author = {Yingjie Zhang and Bolin Lian and Yingxi Ding and Chenxu Yang and Xiangxiru Xiong and Yuqi Lu and Baohua Tan and Tianyu Li},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-62280-1},
url = {https://doi.org/10.1038/s41598-026-62280-1}
}RIS
TY - JOUR TI - End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements AU - Yingjie Zhang AU - Bolin Lian AU - Yingxi Ding AU - Chenxu Yang AU - Xiangxiru Xiong AU - Yuqi Lu AU - Baohua Tan AU - Tianyu Li PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-62280-1 UR - https://doi.org/10.1038/s41598-026-62280-1 ER -
APA
Zhang, Y., Lian, B., Ding, Y., Yang, C., Xiong, X., Lu, Y., Tan, B., & Li, T. (2026). End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements. Scientific Reports. https://doi.org/10.1038/s41598-026-62280-1
Source records
- crossref · retrieved 2026-09-26T05:27:40.632Z