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- W2363510818 abstract "An endmember extraction method for hyperspectral imagery was proposed,which was based on the theories of sparsity-promoting,traditional endmember extraction algorithms and the linear spectral mixture model.This method doesn't need a prior estimation for the quantity of endmembers or the existance of pure pixels in hyperspectral images.Some experiments were carried out with simulative and real hyperspectral images,and the results among the sparsity-promoting based method,ICE and NMF were compared and analyzed.The result showed that the sparsity-promoting based method could extract the endmembers and find their quantity steadily,and this method was more accurate than ICE and NMF." @default.
- W2363510818 created "2016-06-24" @default.
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- W2363510818 date "2011-01-01" @default.
- W2363510818 modified "2023-09-28" @default.
- W2363510818 title "An Endmember Extraction Method for Hyperspectral Imagery Based on Sparsity Promoting" @default.
- W2363510818 hasPublicationYear "2011" @default.
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