Hyperspectral Image Reconstruction via Block Low-Rank and Three-Dimension Weighted Total Variation Constraint
Compressed hyperspectral image reconstruction plays an important role in hyperspectral image processing, which aims to reduce the cost of transmission and recover the hyperspectral image from a small amount of data. Compressed sensing based methods have provided a new way for hyperspectral image rec...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8681453/ |