GCF-Net: A Geometric Context and Frequency Domain Fusion Network for Landslide Segmentation in Remote Sensing Imagery
Remote sensing-based landslide segmentation is of great significance for geological hazard assessment and post-disaster rescue. Existing convolutional neural network methods, constrained by the inherent limitations of spatial convolution, tend to lose high-frequency edge details during deep semantic...
Gorde:
| Egile Nagusiak: | , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2026-02-01
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| Saila: | Remote Sensing |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2072-4292/18/4/635 |
| Etiketak: |
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