New Prehistoric Carvings identified at Stonehenge?

Gavin Leong and Matthew Brolly from the School of Applied Sciences University of Brighton have a couple of fascinating papers out that show how using Terahertz light which "lies between infra-red and microwaves so has unique properties which enables it to pass through objects and to transmit images and compositional (spectroscopic) information that is ordinarily hidden" and a neural network to recognise lichen covered carvings, without harming the lichen has shown early success.

Four new possible carvings were discovered, but more importantly the technique has now been established and will be refined and become a useful tool on many other sites.

Leong, G. and M. Brolly. 2021. Development of a neural network approach for automated recognition of prehistoric carvings at Stonehenge. In Transcending Boundaries: Integrated Approaches to Conservation. ICOM-CC 19th Triennial Conference Preprints, Beijing, 17–21 May 2021, ed. J. Bridgland. Paris: International Council of Museums

Leong, G. and Brolly, M.: Towards a neural network approach for automated recognition of lichen-covered prehistoric carvings at Stonehenge, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10701, https://doi.org/10.5194/egusphere-egu2020-10701, 2020