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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Veröffentlicht in:	Information sciences Jg. 485; S. 154 - 169
Hauptverfasser:	Zhang, Lefei, Zhang, Liangpei, Du, Bo, You, Jane, Tao, Dacheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2019
Schlagworte:	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
Online-Zugang:	Volltext
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