Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
CVPR 2024（2024）
Key words
Hyperspectral Image Denoising,Spectral Unmixing,Abundance Maps,Convolutional Neural Network,Markov Chain,Gaussian Noise,Water Absorption,Diffusion Process,Spectral Bands,Intermediate State,Reversible Process,Diffusion Model,Inverse Problem,Loss Term,Reconstruction Loss,Noisy Images,Noisy Input,Spectral Correlation,State Of The Markov Chain,Self-supervised Manner,Spectral Transformation,Unidentified Sources,Bands Of Hyperspectral Images,Hyperspectral Image Data,Iterative Optimization,Transformer Decoder,Generalization Capability
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