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

Polina Lemenkova, Raphaël De Plaen, Thomas Lecocq, Olivier Debeir

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DOI: 10.3390/s23010056
Published: 2022-12-21
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s23010056,
  title = {Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium},
  author = {Polina Lemenkova and Raphaël De Plaen and Thomas Lecocq and Olivier Debeir},
  year = {2022},
  journal = {Sensors},
  doi = {10.3390/s23010056},
  url = {https://doi.org/10.3390/s23010056}
}

RIS

TY  - JOUR
TI  - Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium
AU  - Polina Lemenkova
AU  - Raphaël De Plaen
AU  - Thomas Lecocq
AU  - Olivier Debeir
PY  - 2022
JO  - Sensors
DO  - 10.3390/s23010056
UR  - https://doi.org/10.3390/s23010056
ER  -

APA

Lemenkova, P., Plaen, R. D., Lecocq, T., & Debeir, O. (2022). Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium. Sensors. https://doi.org/10.3390/s23010056

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crossref · retrieved 2026-09-25T07:13:45.942Z