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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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Bibliografske podrobnosti
izdano v:Sensors (Basel)
Main Authors: Li, Meizhu, Huang, Shaoguang, De Bock, Jasper, de Cooman, Gert, Pižurica, Aleksandra
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Online dostop: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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