A curated list of articles and codes related to remote sensing image super-resolution.
Table of Contents
- Deep Learning for Remote Sensing Images
- Traditional Methods for Remote Sensing Images
- Databases
- Survey
Deep Learning for Remote Sensing Images
2020
[TGARS20] Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks. [Paper]
[TGARS20] Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network. [Paper]
[TGARS20] Coupled Adversarial Training for Remote Sensing Image Super-Resolution. [Paper]
[TGARS20] Nonpairwise-Trained Cycle Convolutional Neural Network for Single Remote Sensing Image Super-Resolution. [Paper]
[TGARS20] Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images via Learning-Based Super-Resolution. [Paper]
[TGARS20] Satellite Video Super-Resolution Based on Adaptively Spatiotemporal Neighbors and Nonlocal Similarity Regularization. [Paper]
[RemoteSens20] Improved SRGAN for Remote Sensing Image Super-Resolution Across Locations and Sensors. [[Paper]]
2019
- [TGARS19] Super-Resolution of Single Remote Sensing Image Based on Residual Dense Backprojection Networks. [Paper]
Traditional Methods for Remote Sensing Images
2019
- [RemoteSens19] Improving Remote Sensing Image Super-Resolution Mapping Based on the Spatial Attraction Model by Utilizing the Pansharpening Technique. [[Paper]]
2018
- [TGARS18] Adaptive Super-Resolution for Remote Sensing Images Based on Sparse Representation With Global Joint Dictionary Model. [Paper]
Others
Databases
- UC Merced dataset offical
- AID dataset offical
- USC_SIPI image database offical
- NWPU VHR-10 dataset baidu
- NWPU-RESISC45 dataset baidu
