A Hierarchical Local-Sparse Model for Semantic Change Detection in Remote Sensing Imagery
In response to the existing challenges in semantic change detection (SCD) for remote sensing images, such as weak spatiotemporal correlation and insufficient utilization of local neighborhood information, this article proposes a SCD network based on hierarchical local-sparse attention (HLSNet). The...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2025-01-01
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| Серія: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10818768/ |
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