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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Bibliographic Details
Main Authors: Zexin Xie, Jian Wang, Wei Song, Yanling Du, Huifang Xu, Qinhan Yang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Online Access:https://ieeexplore.ieee.org/document/10742930/
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