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subspace representation
Subspace clustering for hyperspectral images via dictionary learning with adaptive regularization
Sparse subspace clustering (SSC) has emerged as an effective approach for the automatic analysis of hyperspectral images (HSI). Traditional SSC-based approaches employ the input HSI data as a dictionary of atoms, in terms of which all the data …
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