Modeling High-Order Semantic Abstraction and Temporal Interaction for Remote Sensing Change Detection
Remote sensing change detection (RSCD) identifies changes by comparing images of the same area over time. Although deep learning mitigates issues like seasonal variation and pseudochanges, its development in RSCD remains largely heuristic and lacks clear architectural guidance. In this article, we u...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2026-01-01
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| Col·lecció: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11251203/ |
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