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UID:DSC-11970
DTSTART;TZID=Europe/Berlin:20170210T103000
SEQUENCE:1501514715
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20170210T113000
URL:https://dresden-science-calendar.de/calendar/en/detail/11970
LOCATION:HZDR\, Bautzner Landstraße 40001328 Dresden
SUMMARY:Alfeld: Spectroscopic Imaging for Cultural Heritage: Data processin
 g strategies for XRF and Hyperspectral imaging
CLASS:PUBLIC
DESCRIPTION:Speaker: Dr. Matthias Alfeld\nInstitute of Speaker: Sorbonne Un
 iversités Paris\, Laboratoire d’archéologie moléculaire et structural
 e\, LAMS\nTopics:\nPhysik\, Gesellschaft\, Philos.\, Erzieh.\, Umwelt\n Lo
 cation:\n  Name: HZDR (712/138 - Versammlungsraum)\n  Street: Bautzner Lan
 dstraße 400\n  City: 01328 Dresden\n  Phone: \n  Fax: \nDescription: The 
 technological progress in the last decades has allowed to expand spectrosc
 opic investigations from spot analysis to imaging and to become a common m
 ethod in recent years. Few fields of science benefit from this more than t
 he investigation of cultural heritage objects. This is due to their unique
  nature\, which requires non-destructive investigations\, and their high h
 eterogeneity on the macroscopic and microscopic length scale\, which compl
 icates the acquisition of representative results.  The two most prominent 
 spectroscopic imaging techniques are X-Ray Fluorescence (XRF) imaging\, wh
 ich yields elemental distribution images\, and hyperspectral imaging in th
 e visible and near infrared range with several hundred color channels\, yi
 elding images with chemical contrast.  The investigation of cultural herit
 age objects is often only possibly in-situ\, i.e. at the excavation site o
 r in a museum/gallery. Here the conditions are less controlled and less we
 ll-defined than in laboratories. At the same time the experimental time is
  limited\, as the stays for in-situ experiments cannot be indefinitely ext
 ended.   So\, data processing faces two different challenges: At the one h
 and\, data needs to be rapidly inspected in-situ to control its quality an
 d to guide further measurements. At the other hand\, after the experiment 
 the data needs to be carefully evaluated in order to not miss details in t
 he data. Furthermore\, artifacts in the data due to the challenging experi
 mental conditions need to be taken into account.  In this talk I will pres
 ent how matrix factorization techniques with non-negativity constrains sup
 port the interpretation of spectroscopic imaging for both challenges. Furt
 her\, we will show how 3D models of the investigated object acquired by ph
 otogrammetry allow to correct for artifacts resulting from the complex sha
 pe of an object during XRF imaging and discuss the benefit of Artificial N
 eural Networks in imaging spectroscopy.   The validity and value of these 
 approaches will be demonstrated on spectroscopic imaging data acquired on 
 polychrome pieces of the Frieze of the Siphnian Treasury at the Delphi san
 ctuary in Greece (approx. 525 BC) and the polychrome decoration of Egyptia
 n Tombs from the time of Ramses II (c. 1303 BC – 1213 BC).
DTSTAMP:20260517T004709Z
CREATED:20161018T075958Z
LAST-MODIFIED:20170731T152515Z
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