Spectral band selection for ensemble classification of hyperspectral images with applications to agriculture and food safety
<p>In this dissertation, an ensemble non-uniform spectral feature selection and a kernel density decision fusion framework are proposed for the classification of hyperspectral data using a support vector machine classifier. Hyperspectral data has more number of bands and they are always highly...
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| Format: | Others |
| Language: | en |
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MSSTATE
2014
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| Online Access: | http://sun.library.msstate.edu/ETD-db/theses/available/etd-06262014-114816/ |