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Welcome to OpenAIR@RGU

OpenAIR@RGU is the open access institutional repository of Robert Gordon University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests. Further information is available in the repository policy. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Publications Team at publications@rgu.ac.uk

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Latest Additions

Low-rank and sparse representation meet deep unfolding: a new interpretable network for hyperspectral change detection. (2025)
Journal Article
ZHOU, C., HE, Z., DONG, J., LI, Y., REN, J. and PLAZA, A. 2025. Low-rank and sparse representation meet deep unfolding: a new interpretable network for hyperspectral change detection. IEEE transactions on geoscience and remote sensing [online], Early Access. Available from: https://doi.org/10.1109/TGRS.2025.3564996

Hyperspectral image change detection (HSI-CD) is a technique that intelligently checks the changed details in bitemporal hyperspectral images (Bi-HSIs). Deep learning (DL), with the ability to model nonlinear changing features, has achieved promising... Read More about Low-rank and sparse representation meet deep unfolding: a new interpretable network for hyperspectral change detection..

Prototype-guided spatial-spectral interaction network for hyperspectral anomaly detection. (2025)
Journal Article
CHENG, X., WANG, C., HUO, Y., ZHANG, M., WANG, H. and REN, C. [2025]. Prototype-guided spatial-spectral interaction network for hyperspectral anomaly detection. IEEE transactions on geoscience and remote sensing [online], Early Access. Available from: https://doi.org/10.1109/TGRS.2025.3568121

In recent years, deep learning has emerged as one of the most widely utilized techniques in hyperspectral anomaly detection (HAD) with an impressive detection accuracy. However, the investigation into the diverse background representation and the spa... Read More about Prototype-guided spatial-spectral interaction network for hyperspectral anomaly detection..

From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley. (2025)
Presentation / Conference Contribution
ALGAIAR, M. 2025. From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley. Presented at the 16th Workshop of the Society of petrophysicists and well log analysts Saudi Arabia chapter 2025 (SPWLA-SAC 16th Workshop) , 7-8 May 2025, Al Khobar, Saudi Arabia.

This study synthesizes current research on lithium extraction, focusing on technological advances, the growing demand for lithium in the energy transition, and the environmental and social challenges associated with its production. It uses the Lithiu... Read More about From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley..

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