Spatial–Spectral Constrained Adaptive Graph for Hyperspectral Image Clustering
Hyperspectral image (HSI) clustering is a challenging task, whose purpose is to assign each pixel to a corresponding cluster. The high-dimensionality and noise corruption are two main problems that limit the performance of HSI clustering. To address those problems, this paper proposes a projected cl...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2022-08-01
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| シリーズ: | Sensors |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/1424-8220/22/15/5906 |
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