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Towards electrical resistivity tomography interferometry: Leveraging spatial redundancy with machine learning and information theory

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Bibliographic Details
Published in:Near Surface Geophysics
Format: Online Article RSS Article
Published: 2026
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container_title Near Surface Geophysics
description
discipline_display Geophysics
discipline_facet Geophysics
format Online Article
RSS Article
genre Journal Article
id rss_article:89708
institution FRELIP
journal_source_facet Near Surface Geophysics
last_indexed 2026-06-11T02:00:41.891Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Towards electrical resistivity tomography interferometry: Leveraging spatial redundancy with machine learning and information theory
Geophysics
General
Geophysics
sub_discipline_display General
sub_discipline_facet General
subject_display Geophysics
General
Geophysics
Geophysics
General
Geophysics
subject_facet Geophysics
General
Geophysics
title Towards electrical resistivity tomography interferometry: Leveraging spatial redundancy with machine learning and information theory
title_auth Towards electrical resistivity tomography interferometry: Leveraging spatial redundancy with machine learning and information theory
title_full Towards electrical resistivity tomography interferometry: Leveraging spatial redundancy with machine learning and information theory
title_fullStr Towards electrical resistivity tomography interferometry: Leveraging spatial redundancy with machine learning and information theory
title_full_unstemmed Towards electrical resistivity tomography interferometry: Leveraging spatial redundancy with machine learning and information theory
title_short Towards electrical resistivity tomography interferometry: Leveraging spatial redundancy with machine learning and information theory
title_sort towards electrical resistivity tomography interferometry: leveraging spatial redundancy with machine learning and information theory
topic Geophysics
General
Geophysics
url https://onlinelibrary.wiley.com/doi/10.1002/nsg.70066?af=R