Centralized Collaborative Sparse Unmixing for Hyperspectral Images
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DOI: 10.1109/jstars.2017.2651063
Abstract: Spectral unmixing is very important in hyperspectral image analysis and processing, which aims at identifying the constituent spectra (i.e., endmembers) and estimating their fractional abundances from the mixed pixels. In recent years, sparse unmixing has… read more here.
Keywords: abundance estimation; sparse unmixing; collaborative sparse; hyperspectral images ... See more keywords