Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9736
DC FieldValueLanguage
dc.contributor.authorallD'Auria, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.authorallEsposito, A. M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.authorallPetrillo, Z.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.authorallSiniscalchi, A.; Università di Barien
dc.contributor.editorallBassis, S.; Università degli Studi di Milanoen
dc.contributor.editorallEsposito, A.; Seconda Università di Napolien
dc.contributor.editorallMorabito, F. C.; Univ. Reggio Calabriaen
dc.date.accessioned2015-06-03T12:32:44Zen
dc.date.available2015-06-03T12:32:44Zen
dc.date.issued2015en
dc.identifier.isbn978-3-319-18163-9en
dc.identifier.urihttp://hdl.handle.net/2122/9736en
dc.description.abstractWe present a novel approach for the filtering of magnetotelluric data in urban areas. The magnetotelluric (MT) method is a valid technique for geophysical exploration of the Earth’s interiors. It provides information about the rocks’ resistivity and in particular, in volcanology, it allows to delineate the complex structure of volcanoes possibly detecting magmatic chambers and hydrothermal systems. Indeed, geological fluids (e.g. magma) are characterized by resistivity of many orders of magnitude lower than the surrounding rocks. However, the MT method requires the presence of natural electromagnetic fields. So in urban areas, the noise strongly influences the MT recordings, especially that produced by trains. Various denoising techniques have been proposed, but it is not always easy to identify the noise-free intervals. Thus, in this work we propose a neural method, the Self-Organizing Map (SOM), to perform the clustering of impedance tensors, computed on a Discrete Wavelet (DW) expansion of MT recordings. The use of the DW transform is motivated by the need of analyzing MT recordings both in time and frequency domain. The results of the SOM based clustering analysis applied to synthetic data have shown the capability of greatly reducing the effect of the noise on the retrieved apparent resistivity curves.en
dc.language.isoEnglishen
dc.relation.ispartofAdvances in Neural Networks: Computational and Theoretical Issuesen
dc.subjectmagnetotelluricsen
dc.subjectself-organizing mapsen
dc.titleDenoising Magnetotelluric Recordings Using Self-OrganizingMaps.en
dc.typebook chapteren
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumber137-148en
dc.identifier.URLhttp://www.springer.com/us/book/9783319181639en
dc.subject.INGV04. Solid Earth::04.02. Exploration geophysics::04.02.04. Magnetic and electrical methodsen
dc.subject.INGV04. Solid Earth::04.05. Geomagnetism::04.05.08. Instruments and techniquesen
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networksen
dc.description.obiettivoSpecifico2V. Dinamiche di unrest e scenari pre-eruttivien
dc.publisherSpringer International Publishingen
dc.description.fulltextrestricteden
dc.contributor.authorD'Auria, L.en
dc.contributor.authorEsposito, A. M.en
dc.contributor.authorPetrillo, Z.en
dc.contributor.authorSiniscalchi, A.en
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.departmentUniversità di Barien
dc.contributor.editorBassis, S.en
dc.contributor.editorEsposito, A.en
dc.contributor.editordepartmentUniversità degli Studi di Milanoen
dc.contributor.editordepartmentSeconda Università di Napolien
dc.contributor.editordepartmentUniv. Reggio Calabriaen
item.openairetypebook chapter-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia-
crisitem.author.deptUniversità degli Studi di Bari-
crisitem.author.orcid0000-0002-7664-2216-
crisitem.author.orcid0000-0003-2192-3720-
crisitem.author.orcid0000-0001-6521-9634-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent05. General-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
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