The Department of Architecture reflects the multi and trans-disciplinary nature of architecture and urbanism, focussing on real-world problems. This includes the work of the Urban Design Studies Unit (UDSU), which is pioneering 'urban morphometrics', harnessing spatial data science, urban geo-data processing, and machine learning approaches to better understand cities, their form, functions and impact, with the ultimate goal of making them more resilient.
Explore some of this Open Access research from the Departments of Architecture.
Fu, Hang and Sun, Genyun and Ren, Jinchang and Zabalza, Jaime and Zhang, Aizhu and Yao, Yanjuan; (2020) 2D-SSA based multiscale feature fusion for feature extraction and data classification in hyperspectral imagery. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, Piscataway, N.J., pp. 76-79. ISBN 9781728163741
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