Advances in Automated Pigment Mapping for 15th-Century Manuscript Illuminations Using 1-D Convolutional Neural Networks and Hyperspectral Reflectance Image Cubes

Reflectance imaging spectroscopy (RIS) is invaluable in mapping and identifying artists’ materials in paintings. The analysis of the RIS image cube first involves classifying the cube into spatial regions, each having a unique reflectance spectrum (endmember). Second, endmember spectra are analyzed...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Roxanne Radpour, Tania Kleynhans, Michelle Facini, Federica Pozzi, Matthew Westerby, John K. Delaney
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	reflectance imaging spectroscopy neural networks pigment mapping illuminated manuscripts
Online Access:	https://www.mdpi.com/2076-3417/14/16/6857