DARecNet-BS

Pytorch implementation of our paper DARecNet-BS: Unsupervised Dual Attention Reconstruction Network for Hyperspectral Band Selection

Additional results are available in Supplementary

Usage - SSRN Classification

• git clone https://github.com/ucalyptus/DARecNet-BS.git
• cd DARecNet-BS/
• conda create -n dabsenv python=3.6
• conda activate dabsenv
• pip install -r requirements.txt
• cd SSRN/
• python indian.py for Classification on Indian Pines Dataset.

See SSRN Settings for details on SSRN settings.

Usage - DARecNet-BS

Run the notebooks in the DARecNet-BS/ directory using https://colab.research.google.com

Architecture : DARecNet-BS

Citation

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

Contact Sayantan Das for code issues or file an issue at this link

Acknowledgement

Part of this code is from a implementation of Classification of HSI using CNN by Zilong Zhong.

License

Copyright (c) 2020 Sayantan Das. Released under the MIT License. See LICENSE for details.