Zhou, Chao;
Rodrigues, Miguel RD;
(2021)
An ADMM Based Network for Hyperspectral Unmixing Tasks.
In:
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(pp. pp. 1870-1874).
IEEE: Toronto, ON, Canada.
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Abstract
In this paper, we use algorithm unrolling approaches in order to design a new neural network structure applicable to hyperspectral unmixing challenges. In particular, building upon a constrained sparse regression formulation of the underlying unmixing problem, we unroll an ADMM solver onto a neural network architecture that can be used to deliver the abundances of different (known) endmembers given a reflectance spectrum. Our proposed network – which can be readily trained using standard supervised learning procedures – is shown to possess a richer structure consisting of various skip connections and shortcuts than other competing architectures. Moreover, our proposed network also delivers state-of-the-art unmixing performance compared to competing methods.
| Type: | Proceedings paper |
|---|---|
| Title: | An ADMM Based Network for Hyperspectral Unmixing Tasks |
| Event: | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| Location: | ELECTR NETWORK |
| Dates: | 6 Jun 2021 - 11 Jun 2021 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICASSP39728.2021.9414555 |
| Publisher version: | https://doi.org/10.1109/ICASSP39728.2021.9414555 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Acoustics, Computer Science, Artificial Intelligence, Computer Science, Software Engineering, Engineering, Electrical & Electronic, Imaging Science & Photographic Technology, Computer Science, Engineering, HSI unmixing, Deep Neural Networks, Algorithm Unrolling, Algorithm Unfolding |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10150848 |
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