Low rank and sparse representation for hyperspectral imagery analysis
<p>This dissertation develops new techniques employing the Low-rank and Sparse Representation approaches to improve the performance of state-of-the-art algorithms in hyperspectral image analysis. The contributions of this dissertation are outlined as follows. </p> <p> 1) Low-rank a...
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| Format: | Others |
| Language: | en |
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MSSTATE
2015
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| Online Access: | http://sun.library.msstate.edu/ETD-db/theses/available/etd-10222015-201436/ |