3 papers
cs.AI2026
FUSAR-R1: A Large-Scale Reasoning Model for Intelligent Interpretation of SAR Images
Yi Yang, Xiaokun Zhang, Yuxuan Li +3
In recent years, large-scale vision-language models have been driving a paradigm shift in intelligent remote sensing image interpretation. By incorporating textual semantic informa…
cs.CV2026
FUSAR-GPT : A Spatiotemporal Feature-Embedded and Two-Stage Decoupled Visual Language Model for SAR Imagery
Xiaokun Zhang, Yi Yang, Ziqi Ye +6
Research on the intelligent interpretation of all-weather, all-time Synthetic Aperture Radar (SAR) is crucial for advancing remote sensing applications. In recent years, although V…
cs.CV2026
FUSAR-KLIP: Towards Multimodal Foundation Models for Remote Sensing
Yi Yang, Xiaokun Zhang, Qingchen Fang +5
Cross-modal artificial intelligence, represented by visual language models, has achieved significant success in general image understanding. However, a fundamental cognitive incons…