Kernel sparse representation for hyperspectral unmixing based on high mutual coherence spectral library
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DOI: 10.1080/01431161.2019.1666215
Abstract: ABSTRACT Sparse regression is now a popular method for hyperspectral unmixing relying on a prior spectral library. However, it is limited by the high mutual coherence spectral library which contains high similarity atoms. In order… read more here.
Keywords: mutual coherence; hyperspectral unmixing; high mutual; coherence spectral ... See more keywords