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Application of edge and line detection to detect the near surface anomalies in potential data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F13%3A%230002847" target="_blank" >RIV/46747885:24220/13:#0002847 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of edge and line detection to detect the near surface anomalies in potential data

  • Original language description

    Presented paper is focused on fast near surface anomaly detection in potential data. Our aim is to find fast and semi ?automated anomaly detection technique for the near surface anomalies with defined geometry. The proposed algorithm is based on the shape recognition. The edge and line detection is used on acquired data to detect the typical shape of the anomaly. Shape geometry parameters are converted into the anomaly parameters and location information. The technique was tested using a set of noise-free and noisy synthetic gravity data; satisfactory results were obtained.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, Barcelona, Spain, 15-18 February, 2013.

  • ISBN

    9789898565419

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    693-696

  • Publisher name

    SciTePress

  • Place of publication

    Barcelona

  • Event location

    Barcelona, Spain

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article