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Mapping Urban Mixed Land Use via Multimodal Fusion and Large Language Models
The precise delineation of urban land use, particularly mixed land use, is essential for sustainable urban planning and resource allocation. However, traditional pixel-based mapping methods face a profound "semantic gap" and struggle to decode the complex, overlapping functional dynamic
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