DSCA-Net

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.

Directory structure

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
                    ...

Generate experimental samples

SGLP.py

Train

main.py

Citation

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.