Visual Analysis of RIS Data for Endmember Selection

A. Popa, F. Gabrieli, T. Kroes, A. Krekeler, M. Alfeld, B. Lelieveldt, E. Eisemann, T. Höllt

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.
Original languageEnglish
Title of host publicationProceedings Eurographics Workshop on Graphics and Cultural Heritage
EditorsR. Pintus, F. Ponchio
PublisherThe Eurographics Association
ISBN (Print)978-3-03868-178-6
Publication statusPublished - 2022
EventGCH 2022 EUROGRAPHICS Workshop on Graphics and Cultural Heritage - Delft, Netherlands
Duration: 28 Sep 202230 Sep 2022


WorkshopGCH 2022 EUROGRAPHICS Workshop on Graphics and Cultural Heritage


  • Human-centered computing
  • Visual analytics
  • Visualization systems and tools
  • Applied computing


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