Exploring high-order correlation for hyperspectral image denoising with hypergraph convolutional network
High-order correlation is an important property of hyperspectral images (HSIs) and has been widely investigated in model-based HSI denoising. However, the existing deep learning-based HSI denoising approaches have not fully utilized the high-order correlation. Hypergraph convolutional networks have...
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| Published in: | Signal processing Vol. 227; p. 109718 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.02.2025
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| Subjects: | |
| ISSN: | 0165-1684 |
| Online Access: | Get full text |
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