Zhou, Chao;
Rodrigues, Miguel RD;
(2022)
Blind Unmixing Using A Double Deep Image Prior.
In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(pp. pp. 1665-1669).
IEEE: Singapore, Singapore.
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Abstract
In this paper, we propose a novel network structure to solve the blind hyperspectral unmixing problem using a double Deep Image Prior (DIP). In particular, the blind unmixing problem involves two sub-problems: endmember estimation and abundance estimation. We, therefore, propose two sub-networks, endmember estimation DIP (EDIP) and abundance estimation DIP (ADIP), to generate the estimation of endmembers and estimation of corresponding abundances respectively. The overall network is then constructed by assembling these two sub-networks. The network is trained in an end-to-end manner by minimizing a novel composite loss function. The experiments on synthetic and real datasets show the effectiveness of the proposed method over state-of-art unmixing methods.
Type: | Proceedings paper |
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Title: | Blind Unmixing Using A Double Deep Image Prior |
Event: | 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Location: | Singapore, SINGAPORE |
Dates: | 22 May 2022 - 27 May 2022 |
ISBN-13: | 9781665405409 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ICASSP43922.2022.9747545 |
Publisher version: | https://doi.org/10.1109/ICASSP43922.2022.9747545 |
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: | Acoustics, blind unmixing, Computer Science, Computer Science, Artificial Intelligence, deep image prior (DIP), Engineering, Engineering, Electrical & Electronic, Hyperspectral unmixing, neural networks, Science & Technology, Technology |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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 |
URI: | https://discovery.ucl.ac.uk/id/eprint/10172094 |
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