Spectral-Spatial Hypergraph-Regularized Self-Representation for Hyperspectral Band Selection
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DOI: 10.1109/lgrs.2023.3276055
Abstract: Due to the redundancy and sparsity of hyperspectral data, sparse representation (SR) has proven to be well-suited for hyperspectral band selection (BS). Moreover, graph regularizers can effectively incorporate local structural information of the data to… read more here.
Keywords: hyperspectral band; band selection; regularized self; hypergraph regularized ... See more keywords