GPR-based imaging and inference of heterogeneous aperture fields: Part I—experimental validation and correlation analysis.

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Title: GPR-based imaging and inference of heterogeneous aperture fields: Part I—experimental validation and correlation analysis.
Authors: Escallon, Daniel1 (AUTHOR), Shakas, Alexis1 (AUTHOR), Maurer, Hansruedi1 (AUTHOR), Madonna, Claudio1 (AUTHOR)
Source: Geophysical Journal International. Mar2026, Vol. 244 Issue 3, p1-12. 12p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 192208998
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: GPR-based imaging and inference of heterogeneous aperture fields: Part I—experimental validation and correlation analysis.
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  Data: <searchLink fieldCode="AR" term="%22Escallon%2C+Daniel%22">Escallon, Daniel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shakas%2C+Alexis%22">Shakas, Alexis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Maurer%2C+Hansruedi%22">Maurer, Hansruedi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Madonna%2C+Claudio%22">Madonna, Claudio</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Geophysical+Journal+International%22">Geophysical Journal International</searchLink>. Mar2026, Vol. 244 Issue 3, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=192208998
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/gji/ggaf513
    Languages:
      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
    Titles:
      – TitleFull: GPR-based imaging and inference of heterogeneous aperture fields: Part I—experimental validation and correlation analysis.
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            NameFull: Escallon, Daniel
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            NameFull: Shakas, Alexis
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            NameFull: Maurer, Hansruedi
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            NameFull: Madonna, Claudio
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              Text: Mar2026
              Type: published
              Y: 2026
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              Value: 244
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