A self-supervised multimodal model fuses 18 channels from six lunar instruments into a shared 768-dimensional embedding per 0.5° chip, enabling mineral regression, similarity search, and geological-unit classification from frozen features.
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LunarFM: A Shared Multimodal Representation of the Moon's Surface
A self-supervised multimodal model fuses 18 channels from six lunar instruments into a shared 768-dimensional embedding per 0.5° chip, enabling mineral regression, similarity search, and geological-unit classification from frozen features.