This is HFD100 dataset and implementation of A Large-Scale Hyperspectral Dataset for Flower Classification in KBS(Knowledge-Based Systems), 2022, by Yongrong Zheng, Tao Zhang, Ying Fu.
- The data format used for the experiment is .mat,the division ratio of training dataset and test dataset is 3:2.
- The number of channels for hyperspectral image is 31.
- The size of HFD100 dataset is about 55 Gb, the download link is https://pan.baidu.com/s/1XKGafuIbFpI3V77LSeFbOA and the code is "epou".
If you use our dataset or code for research, please ensure that you cite our paper:
@article{zheng2022large,
title={A large-scale hyperspectral dataset for flower classification},
author={Zheng, Yongrong and Zhang, Tao and Fu, Ying},
journal={Knowledge-Based Systems},
volume={236},
pages={107647--107658},
year={2022},
publisher={Elsevier}
}