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A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information
Supervised hyperspectral image (HSI) classification relies on accurate label information. However, it is not always possible to collect perfectly accurate labels for training samples. This motivates the development of classifiers that are sufficiently robust to some reasonable amounts of errors in d...
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| Vydáno v: | Sensors (Basel) |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7570993/ https://ncbi.nlm.nih.gov/pubmed/32942592 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185262 |
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