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A transformer-based landform mapping method combining topographic knowledge and digital elevation data
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DOI：10.1016/j.jag.2025.104974.png)
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Abstract
En 中文
• We propose a topographic knowledge-integrated transformer for landform mapping. • Terrain feature-guided attention enhance feature encoding of landform structures. • A topographic prior loss is proposed to constrain the learning process. • Efficient decoder design supports multi-scale fusion with lower computation. • Outperforms seven baseline models in both qualitative and quantitative assessments.
Keywords:
Landform mapping
Deep learning
Transformer
DEM
Topographic knowledge
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