@ARTICLE{9093845,
author={Qin, Kai and Ge, Fangyuan and Zhao, Yingjun and Zhu, Ling and Li, Ming and Shi, Cong and Li, Dong and Zhou, Xichuan},
journal={IEEE Geoscience and Remote Sensing Letters},
title={Hapke Data Augmentation for Deep Learning-Based Hyperspectral Data Analysis With Limited Samples},
year={2021},
volume={18},
number={5},
pages={886-890},
keywords={Hyperspectral imaging;Minerals;Training;Machine learning;Neural networks;Data augmentation;deep learning;Hapke model;hyperspectral remote sensing;limited samples},
doi={10.1109/LGRS.2020.2989796}}