AI RESEARCH
Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling
arXiv CS.CV
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ArXi:2412.04802v4 Announce Type: replace-cross Fusion-based hyperspectral image super-resolution aims to fuse low-resolution hyperspectral images (LR-HSIs) and high-resolution multispectral images (HR-MSIs) to reconstruct high spatial and high spectral resolution images. Current methods typically apply direct fusion from the two modalities without effective supervision, leading to an incomplete perception of deep modality-complementary information and a limited understanding of inter-modality correlations.