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

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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Bibliographic Details
Main Authors: Samiran Das, Aurobinda Routray, Alok Kanti Deb
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Remote Sensing
Subjects:
hyperspectral unmixing
semi-supervised unmixing
recursive PCA
mutual coherence reduction
low-rank representation
linear unmixing
dictionary pruning
hyperspectral image processing
Online Access:http://www.mdpi.com/2072-4292/10/7/1106

Internet

http://www.mdpi.com/2072-4292/10/7/1106

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