SATF: a flight trajectory prediction method incorporating spatial awareness and time–frequency transformation
Flight trajectory prediction (FTP) is crucial for air traffic management, yet current deep learning approaches often struggle with intricate structures and limited accuracy. Although frequency-domain-based methods have achieved state-of-the-art performance for time series tasks, they fail to effecti...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2512592 |
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