《 RSI-HFAS：基于深度反馈机制的遥感图像连续比例超分辨率网络》
- Pytorch 1.1.0
- Python 3.6
- numpy
- skimage
- imageio
- cv2
运行示例：
将model_400.pt放在./eperiment/metafpn/model/下
python main.py --model metafpn --ext sep --save metafpn --n_GPUs 1 --batch_size 1 --test_only --data_test Set5 --pre_train ./experiment/metafpn/model/model_400.pt --save_results --scale 4.0
训练并测试：
python main.py --model metafpn --save metafpn --ext sep --lr_decay 90 --epochs 400 --n_GPUs 1 --batch_size 4
视觉结果：
Citation:
N. Ni, H. Wu and L. Zhang, "Hierarchical Feature Aggregation and Self-Learning Network for Remote Sensing Image Continuous-Scale Super-Resolution," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 8023505, doi: 10.1109/LGRS.2021.3122985.
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