Pytorch implementation of our paper DARecNet-BS: Unsupervised Dual Attention Reconstruction Network for Hyperspectral Band Selection
Additional results are available in Supplementary
git clone https://github.com/ucalyptus/DARecNet-BS.gitcd DARecNet-BS/conda create -n dabsenv python=3.6conda activate dabsenvpip install -r requirements.txtcd SSRN/python indian.pyfor Classification on Indian Pines Dataset.
See SSRN Settings for details on SSRN settings.
Run the notebooks in the DARecNet-BS/ directory using https://colab.research.google.com
If you find useful DARecNet-BS code in your research, we would appreciate a citation to the original paper:
@article{roy2020bs,
title={DARecNet-BS: Unsupervised Dual-Attention Reconstruction Network for Hyperspectral Band Selection},
author={Roy, Swalpa Kumar and Das, Sayantan and Song, Tiecheng and Chanda, Bhabatosh},
journal={IEEE Geoscience and Remote Sensing Letters},
year={2020}
}
Contact Sayantan Das for code issues or file an issue at this link
Part of this code is from a implementation of Classification of HSI using CNN by Zilong Zhong.
Copyright (c) 2020 Sayantan Das. Released under the MIT License. See LICENSE for details.