Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network
This study proposes a parcel-scale remote sensing methodology for agricultural cultivation pattern extraction to address the classification inaccuracies observed in previous crop planting structure identification studies. Specifically, a novel semantic edge-aware multi-task neural network (SEANet) i...
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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/10.1080/17538947.2025.2497487 |
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