Spatial-Spectral Hyperspectral Endmember Extraction Using a Spatial Energy Prior Constrained Maximum Simplex Volume Approach
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DOI: 10.1109/jstars.2020.2981402
Abstract: Endmember extraction algorithms (EEAs) are among the most commonly discussed types of hyperspectral image processing in the past three decades. This article proposes a spatial energy prior constrained maximum simplex volume (SENMAV) approach for spatial-spectral… read more here.
Keywords: endmember extraction; spatial energy; spatial spectral; energy prior ... See more keywords