Journal article Open Access

Modal decomposition of magnetic maps: the case of Cape Roberts aeromagnetic survey, Antarctica

M. Gambetta


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://www.openaccessrepository.it/record/130211</identifier>
  <creators>
    <creator>
      <creatorName>M. Gambetta</creatorName>
    </creator>
  </creators>
  <titles>
    <title>Modal decomposition of magnetic maps: the case of Cape Roberts aeromagnetic survey, Antarctica</title>
  </titles>
  <publisher>INFN Open Access Repository</publisher>
  <publicationYear>2010</publicationYear>
  <subjects>
    <subject>Rural Digital Europe</subject>
    <subject>NEANIAS Atmospheric Research Community</subject>
    <subject>Geophysics</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2010-03-04</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://www.openaccessrepository.it/record/130211</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.4401/ag-4641</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://www.openaccessrepository.it/communities/itmirror</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">This paper proposes a digital enhancement tool for magnetic anomaly maps. The magnetic anomaly map is decomposed&lt;br&gt;by means of Eigenvalue Decomposition into a number of orthogonal bases. The dataset is then filtered&lt;br&gt;accordingly to a specific variance pattern. The dataset is decomposed and the eigenvalues population is inspected&lt;br&gt;so that the variance is evaluated yielding the definition of two thresholds. Subsequently, the dataset is&lt;br&gt;reconstructed into three subsets which hold different features respectively. The proposed filtering procedure is&lt;br&gt;first tested with a synthetic signal and then applied to the data of Cape Roberts (Antarctica) aeromagnetic survey,&lt;br&gt;flown over an off-shore rift basin. The proposed method appears to be efficient in noise removal and acts as&lt;br&gt;a digital enhancement tool which provides TMI anomaly maps revealing hidden lineaments, otherwise not visible.&lt;br&gt;The methodology effectiveness as a hidden lineaments detection tool has been checked against independent&lt;br&gt;data.</description>
  </descriptions>
</resource>
0
0
views
downloads
Views 0
Downloads 0
Data volume 0 Bytes
Unique views 0
Unique downloads 0

Share

Cite as