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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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Dettagli Bibliografici
Pubblicato in:Sensors (Basel)
Autori principali: Li, Meizhu, Huang, Shaoguang, De Bock, Jasper, de Cooman, Gert, Pižurica, Aleksandra
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2020
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Accesso online: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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