@inproceedings{6ad774dbf8274d6f891168f0ce9650f9,
title = "A DATA FUSION METHOD FOR THE DELAYERING OF X-RAY FLUORESCENCE IMAGES OF PAINTED WORKS OF ART",
abstract = "In this manuscript, we address the problem of studying layer structure in X-ray Fluorescence (XRF) elemental maps of paintings through the incorporation of reflectance imaging spectral data in the visible or near IR range. We propose a conceptually flexible approach, which involves an initial clustering step for the visible hyperspectral reflectance data (RIS) and the formation of a synthetic surface XRF image. Considering the difference of the full and synthetic surface XRF images, surface and subsurface correlated features are then identified. Results are demonstrated on real and simulated data.",
keywords = "Cultural heritage science, Data fusion, Hyperspectral imaging, RIS, XRF",
author = "Fiske, {L. D.} and Katsaggelos, {A. K.} and Aalders, {M. C.G.} and M. Alfeld and M. Walton and O. Cossairt",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Image Processing, ICIP 2021 ; Conference date: 19-09-2021 Through 22-09-2021",
year = "2021",
doi = "10.1109/ICIP42928.2021.9506300",
language = "English (US)",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "3458--3462",
booktitle = "2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings",
address = "United States",
}