This is the Matlab program of our paper "A Spectral-spatial Jointed Spectral Super-resolution and Its Application to HJ-1A Satellite Images" accepted by IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 19, pp. 1-5, 2022.
Copyright 2021
Xiaolin Han, Tsinghua University, Dept.of Electronic Engineering; Huan Zhang, Tsinghua University, Dept.of Electronic Engineering; Jing-Hao Xue, University College London, Dept of Statistical Science; Weidong Sun, Tsinghua University, Dept.of Electronic Engineering.
Use: The Matlab 2017 should be installed first. Modified the superpixels.m according to superpixels_modified.m. You can then run the program "main_MS3.m".
For more details about the algorithm, please refer to our article. Citation: X. Han, H. Zhang, J. -H. Xue and W. Sun, "A Spectral–Spatial Jointed Spectral Super-Resolution and Its Application to HJ-1A Satellite Images," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 5505905, doi: 10.1109/LGRS.2021.3073501
Our related articles: [1] X. Han, J. Yu, J. Luo,and W. Sun, "Hyperspectral and multispectral image fusion using cluster-based multi-branch BP neural networks", Remote Sensing, vol. 11, no. 10, pp. 1173, 2019. [2] X. Han, J. Yu, J. Xue and W. Sun, "Spectral super-resolution for RGB images using class-based BP neural networks", In 2018 Digital Image Computing: Techniques and Applications (DICTA), Canberra, Australia, pp. 721-727, 2018.12.10-13.
Disclaimer: Any unauthorized use of these routines for industrial or profit-oriented activities is expressively prohibited.
Questions/feedback: If you have any comment, suggestion, or question, please do contact Xiaolin Han: [email protected] or Weidong Sun: [email protected]