DS²DL learns latent representations of hyperspectral images via unsupervised masked autoencoders and performs superpixel-based diffusion clustering in that space to improve accuracy over prior methods.
Unsupervised clustering and active learning of hyperspectral images with nonlinear diffusion.IEEE Transactions on Geoscience and Remote Sensing, 57(3):1829–1845
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Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
DS²DL learns latent representations of hyperspectral images via unsupervised masked autoencoders and performs superpixel-based diffusion clustering in that space to improve accuracy over prior methods.