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    <completedDate>2012-04-30</completedDate>
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    <title language="eng">Data Enhancement for Active Thermography</title>
    <abstract language="eng">Pulse thermography is a non-destructive testing method based on infrared imaging of transient thermal patterns. Heating the surface of the structure under test for a short period of time generates a non-stationary temperature distribution and thus a thermal contrast between the defect and the sound material. Due to measurement noise, preprocessing of the experimental data is necessary, before reconstruction algorithms can be applied. We propose a decomposition of the measured temperature into Green's function solutions to eliminate noise.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-15243</identifier>
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    <enrichment key="SourceTitle">Appeared in: E-book Proceedings, Ed. by Gennaro Cardone, 11th International Conference on Quantitative Infrared Thermography, Naples, 2012, 2012-ISBN 9788890648441</enrichment>
    <author>Sebastian Götschel</author>
    <submitter>Sebastian Götschel</submitter>
    <author>Martin Weiser</author>
    <author>Christiane Maierhofer</author>
    <author>Regina Richter</author>
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      <title>ZIB-Report</title>
      <number>12-20</number>
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    <title language="eng">Fast Defect Shape Reconstruction Based on the Travel Time in Pulse Thermography</title>
    <parentTitle language="eng">Nondestructive Testing of Materials and Structures</parentTitle>
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    <title language="eng">Data Enhancement for Active Thermography</title>
    <abstract language="eng">Pulse thermography is a non-destructive testing method based on infrared imaging of transient thermal patterns. Heating the surface of the structure under test for a short period of time generates a non-stationary temperature distribution and thus a thermal contrast between the defect and the sound material. Due to measurement noise, preprocessing of the experimental data is necessary, before reconstruction algorithms can be applied. We propose a decomposition of the measured temperature into Green's function solutions to eliminate noise.</abstract>
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    <author>Christiane Maierhofer</author>
    <author>Regina Richter</author>
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