[Traitement conjoint par fusion de données et T-SNE des données acquises par imagerie de spectroscopie de réflectance Vis–NIR et par imagerie XRF dans la nécropole thébaine (Égypte)]
L'imagerie hyperspectrale permet l'acquisition d'informations représentatives sur les objets du patrimoine culturel. Pour une identification complète des composés chimiques présents, il faut des instruments employant différentes formes de rayonnement, sensibles à différentes caractéristiques chimiques. Les procédures pour évaluer les données sont généralement développées pour une seule technique spectroscopique. Les données issues de différentes techniques sont donc évaluées séparément et les représentations obtenues par des données réduites sont comparées pendant l'interprétation. Dans cette publication, nous décrivons comment la méthode « t-stochastic neighbor embedding » (t-SNE) permet l'évaluation et l'interprétation des données acquises dans une tombe ramesside (XIIIe siècle avant J.-C.) de la nécropole thébaine en Égypte. En fusionnant l'imagerie par fluorescence X (XRF) et la spectroscopie d'imagerie par réflectance (RIS) en un seul ensemble de données, nous exploitons les synergies entre les deux méthodes pour étayer l'interprétation et la présentation des résultats obtenus.
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Hyperspectral imaging allows the acquisition of representative information on cultural heritage objects. For a complete identification of the chemical compounds present, one needs instruments employing different forms of radiation, sensitive to different chemical features. Data treatment workflows are commonly developed for a single spectroscopic technique, so that data sets are evaluated separately, and the reduced representations yielded are compared during interpretation. In this publication, we describe how t-stochastic neighbor embedding (t-SNE) allows for the evaluation and interpretation of data acquired in a Ramesside tomb (13th century BC) of the Theban Necropolis in Egypt. By fusing X-ray Fluorescence (XRF) imaging and Reflectance Imaging Spectroscopy (RIS) into a single data set, we exploit the synergies between both methods to support interpretation and presentation of the results yielded.
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Mots-clés : Imagerie par fluorescence des rayons X, Spectroscopie d'imagerie par réflectance, Fusion de données, t-SNE, Égypte antique
Matthias Alfeld 1 ; Silvia Pedetti 1 ; Philippe Martinez 1, 2 ; Philippe Walter 1
@article{CRPHYS_2018__19_7_625_0,
author = {Matthias Alfeld and Silvia Pedetti and Philippe Martinez and Philippe Walter},
title = {Joint data treatment for {Vis{\textendash}NIR} reflectance imaging spectroscopy and {XRF} imaging acquired in the {Theban} {Necropolis} in {Egypt} by data fusion and {t-SNE}},
journal = {Comptes Rendus. Physique},
pages = {625--635},
publisher = {Elsevier},
volume = {19},
number = {7},
year = {2018},
doi = {10.1016/j.crhy.2018.08.004},
language = {en},
}
TY - JOUR AU - Matthias Alfeld AU - Silvia Pedetti AU - Philippe Martinez AU - Philippe Walter TI - Joint data treatment for Vis–NIR reflectance imaging spectroscopy and XRF imaging acquired in the Theban Necropolis in Egypt by data fusion and t-SNE JO - Comptes Rendus. Physique PY - 2018 SP - 625 EP - 635 VL - 19 IS - 7 PB - Elsevier DO - 10.1016/j.crhy.2018.08.004 LA - en ID - CRPHYS_2018__19_7_625_0 ER -
%0 Journal Article %A Matthias Alfeld %A Silvia Pedetti %A Philippe Martinez %A Philippe Walter %T Joint data treatment for Vis–NIR reflectance imaging spectroscopy and XRF imaging acquired in the Theban Necropolis in Egypt by data fusion and t-SNE %J Comptes Rendus. Physique %D 2018 %P 625-635 %V 19 %N 7 %I Elsevier %R 10.1016/j.crhy.2018.08.004 %G en %F CRPHYS_2018__19_7_625_0
Matthias Alfeld; Silvia Pedetti; Philippe Martinez; Philippe Walter. Joint data treatment for Vis–NIR reflectance imaging spectroscopy and XRF imaging acquired in the Theban Necropolis in Egypt by data fusion and t-SNE. Comptes Rendus. Physique, Physics and arts / Physique et arts, Volume 19 (2018) no. 7, pp. 625-635. doi : 10.1016/j.crhy.2018.08.004. https://comptes-rendus.academie-sciences.fr/physique/articles/10.1016/j.crhy.2018.08.004/
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