KDANet: a farmland extraction network using band selection and dual attention fusion – a case study of paddy fields and irrigated land in Qingtongxia, China
Food security is a critical global issue, and accurate monitoring of farmland is essential to address this challenge. However, farmland extraction accuracy is often hindered by variations in land types and scales. We propose the Kolmogorov–Arnold Dual Attention Multi-Feature Fusion Network (KDANet),...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2465518 |
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