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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| Автори: | , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Taylor & Francis Group
2026-03-01
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| Серія: | Geo-spatial Information Science |
| Предмети: | |
| Онлайн доступ: | https://www.tandfonline.com/doi/10.1080/10095020.2026.2619233 |
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