# Deep Spectral Convolution Network for HyperSpectral Unmixing

* Our paper is accepted to IEEE ICIP 2018.
* Code and Tensorflow model will be released from this page very soon.


## References

Please cite the following papers:

[1] Savas Ozkan and Gozde Bozdagi Akar, Deep Spectral Convolution Network for HyperSpectral Unmixing, IEEE International Conference on Image Processing, 2018:

[2] Savas Ozkan and Gozde Bozdagi Akar, Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty, arXiv:1808.01104, 2018:
```
@article{ozkan18dscn,
  title={Deep Spectral Convolution Network for HyperSpectral Unmixing},
  author={Ozkan, Savas and Akar, Gozde Bozdagi},
  journal={IEEE International Conference on Image Processing},
  year={2018},
}
```
```
@article{ozkan2018improved,
  title={Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty},
  author={Ozkan, Savas and Akar, Gozde Bozdagi},
  journal={arXiv preprint arXiv:1808.01104},
  year={2018}
}
```
```
@article{ozkan2020su,
  title={Spectral Unmixing With Multinomial Mixture Kernel and Wasserstein Generative Adversarial Loss},
  author={Ozkan, Savas and Akar, Gozde Bozdagi},
  journal={AI for Earth Sciences Workshop at NeurIPS 2020},
  year={2020}
}
```