A Spatiotemporal Fusion Network for Remote Sensing Based on Global Context Attention Mechanism
Spatial-temporal fusion algorithms commonly encounter difficulties in effectively striking a balance between the extraction of intricate spatial details and changes over time. To mitigate these problems, we propose a spatiotemporal fusion network for remote sensing based on a global context (GC) att...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10766929/ |
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