Ensemble synthetic oversampling with pixel pair for class-imbalanced and small-sized hyperspectral data classification

Ensemble synthetic oversampling with pixel pair for class-imbalanced and small-sized hyperspectral data classification

Hyperspectral images (HSI) suffer from limited labeled data and the curse of dimensionality, which makes it difficult to classify imbalanced and small-sized HSI data. To address the mentioned issues, pixel pair features is designed to handle small-size problem. However, the augmented data inherits t...

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Bibliographic Details
Main Authors: Wei Feng, Yijun Long, Gabriel Dauphin, Yinghui Quan, Wenjiang Huang, Mengdao Xing
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Hyperspectral image classification
Imbalanced data
Small-sized data
Ensemble learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224000517

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http://www.sciencedirect.com/science/article/pii/S1569843224000517

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