A self-supervised per-pixel MLP that learns spectral inversion from synthetic LR-MSI created via SRF applied to LR-HSI and then applies the mapping to HR-MSI to estimate HR-HSI.
Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
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SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution
A self-supervised per-pixel MLP that learns spectral inversion from synthetic LR-MSI created via SRF applied to LR-HSI and then applies the mapping to HR-MSI to estimate HR-HSI.