Structure-Texture Dual Preserving for Remote Sensing Image Super Resolution
Most of the existing remote sensing image super-resolution (SR) methods based on deep learning tend to learn the mapping from low-resolution (LR) images to high-resolution (HR) images directly. But they ignore the potential structure and texture consistency of LR and HR spaces, which cause the loss...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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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/10423125/ |