Integrating unsupervised domain adaptation and SAM technologies for image semantic segmentation: a case study on building extraction from high-resolution remote sensing images
Deep learning (DL) has become the mainstream technique for extracting information from high-spatial-resolution (HSR) imagery because of its powerful feature representation capabilities. However, DL models rely heavily on accurate annotations, which limits their generalizability to new data. Recently...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2491108 |
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