Cross-sensor data reconstruction for optical remote sensing gap-filling with attention-enhanced multi-scale fusion network
Landsat and Sentinel-2 satellites offer high-resolution multispectral imagery widely used for applications such as vegetation phenology assessment, soil dynamics monitoring, and crop yield estimation. However, optical remote sensing data often encounter information gaps due to satellite orbital cycl...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225002183 |
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