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ChangeVFM: unleashing the power of vision foundation models for semantic change detection in remote sensing images

Semantic change detection (SCD) aims to identify land cover changes between bi-temporal remote sensing images and plays a crucial role in applications, such as urban monitoring and disaster assessment. Most existing methods rely on a shared-weight encoder with a dedicated change extractor, which lim...

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Autors principals: Haiyan Huang, Kai Ding, Duowang Zhu, Qimin Cheng, Xiao Huang, Xiaohu Huang, Siyuan Wang, Zhenfeng Shao
Format: Artigo
Idioma:Inglês
Publicat: Taylor & Francis Group 2026-04-01
Col·lecció:Geo-spatial Information Science
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Accés en línia:https://www.tandfonline.com/doi/10.1080/10095020.2026.2646372
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