Hyperspectral image unsupervised classification by robust manifold matrix factorization

Hyperspectral remote sensing image unsupervised classification, which assigns each pixel of the image into a certain land-cover class without any training samples, plays an important role in the hyperspectral image processing but still leaves huge challenges due to the complicated and high-dimension...

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Vydané v:	Information sciences Ročník 485; s. 154 - 169
Hlavní autori:	Zhang, Lefei, Zhang, Liangpei, Du, Bo, You, Jane, Tao, Dacheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.06.2019
Predmet:	Data clustering Dimensionality reduction Hyperspectral image Manifold regularization Matrix factorization Dimensionality reduction Matrix factorization Hyperspectral image Manifold regularization Data clustering
ISSN:	0020-0255, 1872-6291
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