Please use this identifier to cite or link to this item: https://zone.biblio.laurentian.ca/handle/10219/3314
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dc.contributor.authorSmith, Richard S.-
dc.contributor.authorNaprstek, Tomas-
dc.date.accessioned2019-08-07T16:53:29Z-
dc.date.available2019-08-07T16:53:29Z-
dc.date.issued2019-03-13-
dc.identifier.citationNaprstek, Tomas and Smith, Richard S., 2019, A new method for interpolating linear features in aeromagnetic data: Geophysics, 84 (3), JM15-JM24. doi: https://doi.org/10.1190/geo2018-0156.1en_US
dc.identifier.issn1942-2156-
dc.identifier.issn0016-8033-
dc.identifier.urihttps://doi.org/10.1190/geo2018-0156.1-
dc.identifier.urihttps://zone.biblio.laurentian.ca/handle/10219/3314-
dc.descriptionThis paper is © 2019 Society of Exploration Geophysicists. The posting is available free of charge and its use is subject to the SEG terms and conditions: https://seg.org/Terms-of-Useen_US
dc.description.abstractWhen aeromagnetic data are interpolated to make a gridded image, thin linear features can result in “boudinage” or “string of beads” artifacts if the anomalies are at acute angles to the traverse lines. These artifacts are due to the undersampling of these types of features across the flight lines, making it difficult for most interpolation methods to effectively maintain the linear nature of the features without user guidance. The magnetic responses of dikes and dike swarms are typical examples of the type of geologic feature that can cause these artifacts; thus, these features are often difficult to interpret. Many interpretation methods use various enhancements of the gridded data, such as horizontal or vertical derivatives, and these artifacts are often exacerbated by the processing. Therefore, interpolation methods that are free of these artifacts are necessary for advanced interpretation and analysis of thin, linear features. We have developed a new interpolation method that iteratively enhances linear trends across flight lines, ensuring that linear features are evident on the interpolated grid. Using a Taylor derivative expansion and structure tensors allows the method to continually analyze and interpolate data along anisotropic trends, while honoring the original flight line data. We applied this method to synthetic data and field data, which both show improvement over standard bidirectional gridding, minimum curvature, and kriging methods for interpolating thin, linear features at acute angles to the flight lines. These improved results are also apparent in the vertical derivative enhancement of field data. The source code for this method has been made publicly available.en_US
dc.language.isoenen_US
dc.publisherSociety of Exploration Geophysicistsen_US
dc.subjectminingen_US
dc.subjectinterpolationen_US
dc.subjectmagneticen_US
dc.titleA new method for interpolating linear features in aeromagnetic dataen_US
dc.typeArticleen_US
Appears in Collections:Smith, Richard S.

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