Multibranch Separable 3-D Convolutional Neural Network for Hyperspectral Image Denoising
3-D convolutional neural networks (CNNs) offer a great potential spatial–spectral representation for hyperspectral image (HSI), and has achieved promising HSI denoising performance. However, the current 3-D CNNs still suffer from limited nonuniform multicomponent spatial–spectr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10234536/ |