Visual Analysis of RIS Data for Endmember Selection

Abstract
Reflectance Imaging Spectroscopy (RIS) is a hyperspectral imaging technique used for investigating the molecular composition of materials. It can help identify pigments used in a painting, which are relevant information for art conservation and history. For every scanned pixel, a reflectance spectrum is obtained and domain experts look for pure representative spectra, called endmembers, which could indicate the presence of particular pigments. However, the identification of endmembers can be a lengthy process, which requires domain experts to manually select pixels and visually inspect multiple spectra in order to find accurate endmembers that belong to the historical context of an investigated painting. We propose an integrated interactive visual-analysis workflow, that combines dimensionality reduction and linked visualizations to identify and inspect endmembers. Here, we present initial results, obtained in collaboration with domain experts.
Description

CCS Concepts: Human-centered computing --> Visual analytics; Visualization systems and tools; Applied computing --> Fine arts

        
@inproceedings{
10.2312:gch.20221233
, booktitle = {
Eurographics Workshop on Graphics and Cultural Heritage
}, editor = {
Ponchio, Federico
and
Pintus, Ruggero
}, title = {{
Visual Analysis of RIS Data for Endmember Selection
}}, author = {
Popa, Andra
and
Gabrieli, Francesca
and
Kroes, Thomas
and
Krekeler, Anna
and
Alfeld, Matthias
and
Lelieveldt, Boudewijn
and
Eisemann, Elmar
and
Höllt, Thomas
}, year = {
2022
}, publisher = {
The Eurographics Association
}, ISSN = {
2312-6124
}, ISBN = {
978-3-03868-178-6
}, DOI = {
10.2312/gch.20221233
} }
Citation