This is the code for paper: Physics-informed Hyperspectral Remote Sensing Image Synthesis with Deep Conditional Generative Adversarial Networks
by: Liqin Liu, Wenyuan Li, Zhenwei Shi and Zhengxia Zou
Please cite this paper:
@article{liu2022physics, title={Physics-informed hyperspectral remote sensing image synthesis with deep conditional generative adversarial networks}, author={Liu, Liqin and Li, Wenyuan and Shi, Zhenwei and Zou, Zhengxia}, journal={IEEE Transactions on Geoscience and Remote Sensing}, volume={60}, pages={1--15}, year={2022}, publisher={IEEE} }
Main Requirements: Python 3.5.2 Pytorch 1.4.0 Gdal 2.2.2
Train: python grss_generation_physics.py
Test: python grss_generation_physics_test.py
More details: https://pan.baidu.com/s/1sUYt-o0h8XW0o6GxktcESQ?pwd=umct
The grss_dfc_2018 dataset can be downloaded with the link: https://pan.baidu.com/s/1q3CVQgeQaUxZlLZgOVHYsA?pwd=qu4x