A comparison of different machine learning algorithms applied to hyperspectral data analysis
Hyperspectral image analysis works with image data where each pixel contains hundreds of wavelengths acquired from spectral measurements. It is a growing field of research in the sciences and industries because it can distinguish visually similar objects. While many machine-learning methods work wel...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för fysik
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184538 |