Superpixel Graph Contrastive Clustering With Semantic-Invariant Augmentations for Hyperspectral Images
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DOI: 10.1109/tcsvt.2024.3418610
Abstract: Hyperspectral images (HSI) clustering is an important but challenging task. The state-of-the-art (SOTA) methods usually rely on superpixels, however, they do not fully utilize the spatial and spectral information in HSI 3-D structure, and their… read more here.
Keywords: superpixel graph; graph contrastive; semantic invariant; contrastive clustering ... See more keywords