Application of Edge and Line Detection to Detect the near Surface Anomalies in Potential Data

Lenka Kosková Třísková, Josef Novák

Abstract

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.

References

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Paper Citation


in Harvard Style

Kosková Třísková L. and Novák J. (2013). Application of Edge and Line Detection to Detect the near Surface Anomalies in Potential Data . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: PRG, (ICPRAM 2013) ISBN 978-989-8565-41-9, pages 693-696. DOI: 10.5220/0004261206930696


in Bibtex Style

@conference{prg13,
author={Lenka Kosková Třísková and Josef Novák},
title={Application of Edge and Line Detection to Detect the near Surface Anomalies in Potential Data},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: PRG, (ICPRAM 2013)},
year={2013},
pages={693-696},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004261206930696},
isbn={978-989-8565-41-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: PRG, (ICPRAM 2013)
TI - Application of Edge and Line Detection to Detect the near Surface Anomalies in Potential Data
SN - 978-989-8565-41-9
AU - Kosková Třísková L.
AU - Novák J.
PY - 2013
SP - 693
EP - 696
DO - 10.5220/0004261206930696