Masking and Mixing Strategy Cuts Label Needs in Hyperspectral Land-Cover Mapping
Researchers in China report a contrastive-learning framework that classifies hyperspectral images accurately with only five labeled samples per class.
Nov 2, 2026 · 3 min read
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