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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Detalles Bibliográficos
Autores principales: Li, Meizhu, Huang, Shaoguang, De Bock, Jasper, de Cooman, Gert, Pižurica, Aleksandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570993/
https://www.ncbi.nlm.nih.gov/pubmed/32942592
http://dx.doi.org/10.3390/s20185262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570993/
https://www.ncbi.nlm.nih.gov/pubmed/32942592
http://dx.doi.org/10.3390/s20185262

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