Abstract: Hyperspectral images (HSIs) contain hundreds of bands, which provide a wealth of spectral information and enable better characterization of features. However, the excessive dimensions and ...
Abstract: In recent years, sparse self-representation has achieved remarkable success in hyperspectral band selection. However, the traditional sparse self-representation-based band selection methods ...
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