Low-rank and Sparse Decomposition for Hyperspectral Image Enhancement and Clustering
In this dissertation, some new algorithms are developed for hyperspectral imaging analysis enhancement. Tensor data format is applied in hyperspectral dataset sparse and low-rank decomposition, which could enhance the classification and detection performance. And multi-view learning technique is app...
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| Format: | Others |
| Language: | en |
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MSSTATE
2019
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| Online Access: | http://sun.library.msstate.edu/ETD-db/theses/available/etd-03212019-132912/ |