Fast Semi-Supervised Unmixing of Hyperspectral Image by Mutual Coherence Reduction and Recursive PCA

Dictionary pruning step is often employed prior to the sparse unmixing process to improve the performance of library aided unmixing. This paper presents a novel recursive PCA approach for dictionary pruning of linearly mixed hyperspectral data motivated by the low-rank structure of a linearly mixed...

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Hauptverfasser:	Samiran Das, Aurobinda Routray, Alok Kanti Deb
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2018-07-01
Schriftenreihe:	Remote Sensing
Schlagworte:	hyperspectral unmixing semi-supervised unmixing recursive PCA mutual coherence reduction low-rank representation linear unmixing dictionary pruning hyperspectral image processing
Online-Zugang:	http://www.mdpi.com/2072-4292/10/7/1106
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