Picture of model of urban architecture

Open Access research that is exploring the innovative potential of sustainable design solutions in architecture and urban planning...

Strathprints makes available scholarly Open Access content by researchers in the Department of Architecture based within the Faculty of Engineering.

Research activity at Architecture explores a wide variety of significant research areas within architecture and the built environment. Among these is the better exploitation of innovative construction technologies and ICT to optimise 'total building performance', as well as reduce waste and environmental impact. Sustainable architectural and urban design is an important component of this. To this end, the Cluster for Research in Design and Sustainability (CRiDS) focuses its research energies towards developing resilient responses to the social, environmental and economic challenges associated with urbanism and cities, in both the developed and developing world.

Explore all the Open Access research of the Department of Architecture. Or explore all of Strathclyde's Open Access research...

Hyperspectral imaging under low illumination with a single photon camera

Griffiths, Alexander D. and Chen, Haochang and Herrnsdorf, Johannes and Li, David and Henderson, Robert K. and Strain, Michael J. and Dawson, Martin D. (2018) Hyperspectral imaging under low illumination with a single photon camera. In: IEEE British and Irish Conference on Optics and Photonics (BICOP 2018). IEEE, Piscataway, NJ.. (In Press)

Text (Griffiths-etal-BICOP2018-Hyperspectral-imaging-under-low-illumination-with-a-single)
Accepted Author Manuscript

Download (1MB) | Preview


Conventional sensors for hyperspectral imaging are limited by noise when operated in low illumination conditions. Recent advances in single-photon avalanche diode (SPAD) arrays provide image sensors capable of single photon counting imaging. Such devices provides camera systems which can operate under low illumination levels and high frame rates, with fully digital in-pixel processing capabilities. Here, we present a hyperspectral imaging system based on low level illumination of a target scene using nine LEDs, each with different emission wavelengths. The backscattered light is captured by a SPAD camera, which can recover spectral information based on the number of photon counts received for each illumination wavelength.