| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7687167 | Talanta | 2012 | 8 Pages |
Abstract
⺠The influence of kernel topography on NIR hyperspectral images was investigated. ⺠Barley, wheat and sorghum were examined. ⺠Principal component analysis was applied to the image datasets. ⺠Kernel curvature was the greatest source of spectral variation. ⺠Important to consider sample shape and texture when analysing principal components.
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Authors
Marena Manley, Cushla M. McGoverin, Paulina Engelbrecht, Paul Geladi,