HyperFM is a new efficient hyperspectral foundation model using spectral grouping and hybrid attention that shows performance gains on cloud property retrieval tasks from PACE data, accompanied by the release of the HyperFM250K dataset.
Satmae: Pre-training transformers for tem- poral and multi-spectral satellite imagery.Advances in Neu- ral Information Processing Systems, 35:197–211
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HyperFM: An Efficient Hyperspectral Foundation Model with Spectral Grouping
HyperFM is a new efficient hyperspectral foundation model using spectral grouping and hybrid attention that shows performance gains on cloud property retrieval tasks from PACE data, accompanied by the release of the HyperFM250K dataset.