CFFormer: Channel Fourier Transformer for Remote Sensing Super Resolution
The objective of super-resolution in remote sensing imagery is to enhance low-resolution images to recover high-quality details. With the rapid progress of deep learning technology, the deep learning-based super-resolution technology for remote sensing images has also made remarkable achievements. H...
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| Main Authors: | Zexin Xie, Jian Wang, Wei Song, Yanling Du, Huifang Xu, Qinhan Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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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/10742930/ |
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