Self-Paced Joint Sparse Representation for the Classification of Hyperspectral Images
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DOI: 10.1109/tgrs.2018.2865102
Abstract: In this paper, a self-paced joint sparse representation (SPJSR) model is proposed for the classification of hyperspectral images (HSIs). It replaces the least-squares (LS) loss in the standard joint sparse representation (JSR) model with a… read more here.
Keywords: representation; joint sparse; neighboring pixels; paced joint ... See more keywords