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, Raphaël
Lecocq, Thomas
Debeir, Olivier
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Verlag/Hrsg.: Zenodo
Schlagwörter: seismology / Galitzine seismometer / horizontal component / analogue seismogram / digitising / earthquake recording / ground motions / historical seismograms / seismic waves / geophysics / computer science / signal processing / data analysis
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28964440
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.5281/zenodo.7476242