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Updated: Jan 9, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

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一个深度学习框架,用于从稀疏的卫星观测中预测飞机轨迹

Ruiyan Shan1,2, Liquan Dong3, Kang Li4

  • 1School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China. shanry1996@163.co.

Scientific reports
|December 4, 2025
PubMed
概括

新的深度学习模型HiFormer通过稀缺的卫星数据改进了空中交通轨迹预测. 它提高了合成和真实世界飞行数据的预测准确性,帮助全球空中交通监控.

关键词:
飞机轨迹预测 飞机轨迹预测直接的多阶段预测.碎片化的轨迹轨迹.这是LSTM的LSTM.基于太空的遥感技术变压器变压器变压器

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