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Hyperspectral Unmixing via L 1/2 Sparsity-Constrained Nonnegative Matrix Factorization

Qian, Yuntao; Jia, Sen; Zhou, Jun; Robles-Kelly, Antonio

Description

Hyperspectral unmixing is a crucial preprocessing step for material classification and recognition. In the last decade, nonnegative matrix factorization (NMF) and its extensions have been intensively studied to unmix hyperspectral imagery and recover the

CollectionsANU Research Publications
Date published: 2011
Type: Journal article
URI: http://hdl.handle.net/1885/64585
Source: IEEE Transactions on Geoscience and Remote Sensing
DOI: 10.1109/TGRS.2011.2144605

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