SSDCN

Semi-Supervised Spectral Degradation Constrained Network for Spectral Super-Resolution

1. Introduction

This is the reserch code of the IEEE Geoscience and Remote Sensing Letters 2022 paper.

W. Chen, X. Zheng*, and X. Lu, “Semi-Supervised Spectral Degradation Constrained Network for Spectral Super-Resolution,” IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022.

2. Start

Requirements:

  Python

  Tensorflow

  Numpy

  Scipy

  Pandas

  Skimage

3. Related work

If you find the code and dataset useful in your research, please consider citing:

@article{chen2021semisupervised,
 title={Semisupervised spectral degradation constrained network for spectral super-resolution},
 author={Chen, Wenjing and Zheng, Xiangtao and Lu, Xiaoqiang},
 journal={IEEE Geoscience and Remote Sensing Letters},
 volume={19},
 pages={1--5},
 year={2021},
 publisher={IEEE}
 }