GeoPriorclip: a foundational remote sensing vision-language model enhanced with cascaded geographic information priors

Remote sensing vision – language models (RSVLMs) have made notable progress in bridging the semantic gap between satellite imagery and natural language. However, two fundamental limitations persist. First, existing vision – language corpora for remote sensing are constructed using general-purpose mo...

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Autors principals:	Aokun Liang, Xi Xiao, Xiangyun Hu, Tao Ke, Tianyang Wang, Yibing Xiong, Huiwei Jiang, Xiao Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2026-03-01
Col·lecció:	Geo-spatial Information Science
Matèries:	Vision-language model Remote Sensing contrastive learning multimodal learning
Accés en línia:	https://www.tandfonline.com/doi/10.1080/10095020.2026.2619233
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