CAR 76-3215 DIRS Lab
December 2, 2019 at 2:00pm
Di Bai
Ph.D. Dissertation Defense
Abstract: 

Hyperspectral imaging has been applied to historical artifact studies. For example, the Gough Map, one of the earliest surviving maps of Britain, was imaged using a hyperspectral imaging system while in the collection at the Bodleian Library, Oxford University in 2015. The collection of the HSI data was aimed at pigment analysis for the material diversity of its composition and potentially the timeline of its creation. To make full use of both the spatial and spectral features, we developed a novel spatial-spectral deep learning technique called 3D-SE-ResNet in this research. We applied the 3D-SE-ResNet to the Gough Map and the Selden Map of China. This deep learning framework will automatically classify pigments in large HSIs with a limited amount of reference data. Historical geographers, cartographic historians and other scholars will benefit from this work to analyze the pigment mapping of cultural heritage artifacts in the future.