Hyperspectral Imagery Classification via Random Multigraphs Ensemble Learning
Hyperspectral imagery (HSI) classification, which attempts to assign hyperspectral pixels with proper labels, has drawn significant attention in various applications. Recently, the graph-based semisupervised learning (SSL) approaches have shown the outstanding ability to handle the situation of limi...
| 出版年: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2022-01-01
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| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/9645331/ |