HUD generates hyperspectral images by running a diffusion process on unmixed abundance maps, then decoding with the endmember matrix, achieving high point fidelity but only average block diversity in the paper's own experiments.
Gitanet: Group interactive threshold-based attention network for hyperspectral image classification,
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Hyperspectral Image Generation with Unmixing Guided Diffusion Model
HUD generates hyperspectral images by running a diffusion process on unmixed abundance maps, then decoding with the endmember matrix, achieving high point fidelity but only average block diversity in the paper's own experiments.