Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based ...
A new multi-granularity fuzzy rough feature selection method fuses algebraic and informational views, improving classification accuracy across 20 benchmark datasets.
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