Edges Detection from Aeromagnetic Data using the Wavelet Transform

Sid-Ali Ouadfeul, Leila Aliouane

2013

Abstract

The main goal of this paper is to use the 2D Directional Continuous Wavelet Transform (DCWT) for structural boundaries delimitation from geomagnetic data. The proposed idea is based on the mapping of maxima of the modulus of the 2D DCWT for each scale used in the DCWT calculation. Application to synthetic data shows robustness of the technique. Application to the real geomagnetic data of In Ouzzal area located in the West of Hoggar (Algeria) shows clearly the strength of this last. Comparison with the analytic signal solutions exhibits that the DCWT is able to predict a pattern of boundary that is hidden by the noise in the analytic signal and eliminated by a threshold. The proposed method proves to be more powerful easy to use and versatile where classical methods of potential field interpretation fail or are very constraining.

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Paper Citation


in Harvard Style

Ouadfeul S. and Aliouane L. (2013). Edges Detection from Aeromagnetic Data using the Wavelet Transform . 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 697-701. DOI: 10.5220/0004380506970701

in Bibtex Style

@conference{prg13,
author={Sid-Ali Ouadfeul and Leila Aliouane},
title={Edges Detection from Aeromagnetic Data using the Wavelet Transform},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: PRG, (ICPRAM 2013)},
year={2013},
pages={697-701},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004380506970701},
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 - Edges Detection from Aeromagnetic Data using the Wavelet Transform
SN - 978-989-8565-41-9
AU - Ouadfeul S.
AU - Aliouane L.
PY - 2013
SP - 697
EP - 701
DO - 10.5220/0004380506970701