This repository provides the code for the methods and experiments presented in our paper 'Dual-stream Class-adaptive Network for Semi-supervised Hyperspectral Image Classification'.
If you have any questions, you can send me an email. My mail address is fangyx@hnu.edu.cn.
path to dataset:
├─Data
├─PaviaU
├─PaviaU.mat
├─PaviaU_gt.mat
├─PaviaU_10_label_train_1.mat
├─PaviaU_10_unlabeled_train_1.mat
├─PaviaU_10_label_test_1.mat
...
├─Houston 2013
├─Houston.mat
├─Houston_gt.mat
├─Houston_10_label_train_1.mat
├─Houston_10_unlabeled_train_1.mat
├─Houston_10_label_test_1.mat
...
SGLP.py
main.py
If you find this paper useful, please cite:
Ting Lu, Yuxin Fang, Wei Fu, Kexin Ding and Xudong Kang, "Dual-stream Class-adaptive Network for Semi-supervised Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-11, 2024, Art no. 5507511, doi: 10.1109/TGRS.2024.3357455.