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L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing

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

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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: 2010
Type: Conference paper
URI: http://hdl.handle.net/1885/62293
Source: Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2010)
DOI: 10.1109/DICTA.2010.82

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