This work focuses on integrating long-range contextual information for HSI classification. Concretely, the efficient non-local module is embedded in the FCN as a learning unit to capture the long-range contextual information with computation efficiency.
put HSI dataset in Datasets
folder
run the Demo_IP.py
for Indian Pines dataset training and testing
@article{shen2020,
title={Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification},
author={Shen, Yu and Zhu, Sijie and Chen, Chen and Xiao, Liang and Du, Qian and Chen, Jianyu and Pan, Delu},
journal={IEEE Transactions on Geoscience and Remote Sensing},
year={2020}
}
This work is implemented based on CCNet.