AINeutralarXiv – CS AI · 10h ago6/10
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Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models
Researchers are using large language models combined with remote sensing imagery to analyze built environments for smart city applications, evaluating models like InternVL and Qwen for tasks including design suggestions, constructability assessment, and risk identification. The study demonstrates that multimodal AI systems can effectively process satellite imagery at multiple scales to support urban planning and infrastructure decision-making.