L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
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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
Collections | ANU Research Publications |
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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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01_Qian_L1/2_Sparsity_Constrained_2010.pdf | 168.83 kB | Adobe PDF | Request a copy |
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