A Symmetric Sparse Representation Based Band Selection Method for Hyperspectral Imagery Classification
A novel Symmetric Sparse Representation (SSR) method has been presented to solve the band selection problem in hyperspectral imagery (HSI) classification. The method assumes that the selected bands and the original HSI bands are sparsely represented by each other, i.e., symmetrically represented. Th...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2016-03-01
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| Reeks: | Remote Sensing |
| Onderwerpen: | |
| Online toegang: | http://www.mdpi.com/2072-4292/8/3/238 |
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