CTSeg: CNN and ViT collaborated segmentation framework for efficient land-use/land-cover mapping with high-resolution remote sensing images
Semantic segmentation models present significant work in land-use/land-cover (LULC) mapping. Even though vision transformers (ViT) with long-sequence interactions have recently emerged as popular solutions alongside convolutional neural networks (CNN), they remain less effective for high-resolution...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225001931 |
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