Hyperspectral Image Classification with Imbalanced Data Based on Semi-Supervised Learning

Hyperspectral remote sensing image classification has been widely employed for numerous applications, such as environmental monitoring, agriculture, and mineralogy. During such classification, the number of training samples in each class often varies significantly. This imbalance in the dataset is o...

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Detalhes bibliográficos
Principais autores: Xiaorou Zheng, Jianxin Jia, Jinsong Chen, Shanxin Guo, Luyi Sun, Chan Zhou, Yawei Wang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
coleção:Applied Sciences
Assuntos:
hyperspectral image
classification
imbalanced data
semi-supervised learning
nearest neighbors
pseudo-label
Acesso em linha:https://www.mdpi.com/2076-3417/12/8/3943
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