Cropland segmentation leveraging a synergistic edge enhancement and temporal difference-aware network with Sentinel-2 time-series imagery
Semantic segmentation of cropland is essential for extracting crop distribution from satellite remote sensing (RS) images. However, the dynamic temporal patterns caused by crop rotations and the heterogeneous spatial characteristics of cropland hinder high-precision segmentation, leading to boundary...
| Published in: | International Journal of Digital Earth |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2554350 |
