DSWFNet: dual-branch fusion of spatial and wavelet features for road extraction from remote sensing images
Road extraction from remote sensing imagery is essential for urban planning, traffic monitoring, and emergency response. However, existing methods often focus solely on spatial-domain features, limiting their ability to model complex topological structures like narrow or fragmented roads. To address...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer Science and Business Media
2025
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/124729/1/124729.pdf http://psasir.upm.edu.my/id/eprint/124729/ https://www.nature.com/articles/s41598-025-34091-3 |
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