AI RESEARCH
Spectral Gaps and Spatial Priors: Studying Hyperspectral Downstream Adaptation Using TerraMind
arXiv CS.CV
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ArXi:2603.06690v1 Announce Type: new Geospatial Foundation Models (GFMs) typically lack native for Hyperspectral Imaging (HSI) due to the complexity and sheer size of high-dimensional spectral data. This study investigates the adaptability of TerraMind, a multimodal GFM, to address HSI downstream tasks \emph{without} HSI-specific pre