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Pure endmember extraction using robust kernel archetypoid analysis for hyperspectral imagery

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0 Published in 2017 at "Isprs Journal of Photogrammetry and Remote Sensing"

DOI: 10.1016/j.isprsjprs.2017.08.001

Abstract: Abstract A robust kernel archetypoid analysis (RKADA) method is proposed to extract pure endmembers from hyperspectral imagery (HSI). The RKADA assumes that each pixel is a sparse linear mixture of all endmembers and each endmember… read more here.

Keywords: analysis; robust kernel; endmember extraction; pure endmember ... See more keywords