This is a library of 2D and 3D Convolutional Neural Networks (CNNs) that perform Single Image Super Resolution (SISR) for Hyperspectral Imagery (HSI).
If you find this work useful, please cite the following works:
1- 3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images
@INPROCEEDINGS{9652420,
author={Aburaed, Nour and Alkhatib, Mohammed Q. and Marshall, Stephen and Zabalza, Jaime and Al Ahmad, Hussain},
booktitle={2021 4th International Conference on Signal Processing and Information Security (ICSPIS)},
title={3D Expansion of SRCNN for Spatial Enhancement of Hyperspectral Remote Sensing Images},
year={2021},
volume={},
number={},
pages={9-12},
doi={10.1109/ICSPIS53734.2021.9652420}}
2- SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture
@INPROCEEDINGS{9883578,
author={Aburaed, Nour and Alkhatib, Mohammed Q. and Marshall, Stephen and Zabalza, Jaime and Ahmad, Hussain Al},
booktitle={IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium},
title={SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture},
year={2022},
volume={},
number={},
pages={1516-1519},
doi={10.1109/IGARSS46834.2022.9883578}}