Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium

Archived seismograms recorded in the 20th century present a valuable source of information for monitoring earthquake activity. However, old data, which are only available as scanned paper-based images should be digitised and converted from raster to vector format prior to reuse for geophysical modelling. Seismograms have special characteristics and specific features recorded by a seismometer and encrypted in the images: signal trace lines, minute time gaps, timing and wave amplitudes. This information should be recognised and interpreted automatically when processing archives of seismograms co... Mehr ...

Verfasser: Lemenkova, Polina
De Plaen, Raphael S. M.
Lecocq, Thomas
Debeir, Olivier
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Schlagwörter: Electromagnétisme - analyse du signal / Séismologie / Sciences de l'ingénieur / Disciplines auxiliaires de l'ingénieur / Disciplines graphiques / Sciences exactes et naturelles / Sciences de la terre et du cosmos / Physique du globe / Sciences de l'espace / Géodynamique et tectonique / Physique / Energy / Environment / P18 / Valuation of Environmental Effects / Q51 / Environmental Economics: Technological Innovation / Q55 / Data Collection and Data Estimation Methodology / Computer Programs: General / C80 / Computer Programs: Other / C89 / Mathematical Methods / C02 / Mathematical and Quantitative Methods: General / C00 / Survey Methods / C42 / Mathematical Methods and Programming: Other / C69 / Methodological Issues: General / C18 / Sampling Methods / C83 / seismology / Galitzine seismometer / horizontal component / analogue seismogram / digitising / earthquake recording / ground motions / historical seismograms / seismic waves
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28957683
Datenquelle: BASE; Originalkatalog
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Link(s) : http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/352985