Anomaly Extraction Technique of Airborne Gamma Spectrometry Based on 2-D Wavelet

Kun Sun, Liangquan Ge, Fei Li, Meng Wang, Xian Guan, Yi Gu, Qingxian Zhang

Abstract

This paper uses 2-D wavelet transform to process the uranium specific activity data of 1:5000 airborne gamma-ray spectrometry production data in a survey area in Inner Mongolia, and uses the distribution of paleo-uranium abundance to correct the extracted anomaly areas. The experiment shows that, with small area and high uranium ore concentration, the anomaly areas extracted by 2-D wavelet method are consistent with the metallogenic environment. This method also appears to be insensitive to low concentration uranium areas which may help in guiding for metallogenic prognosis.

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Paper Citation


in Harvard Style

Sun K., Ge L., Li F., Wang M., Guan X., Gu Y. and Zhang Q. (2018). Anomaly Extraction Technique of Airborne Gamma Spectrometry Based on 2-D Wavelet.In Proceedings of the International Workshop on Environment and Geoscience - Volume 1: IWEG, ISBN 978-989-758-342-1, pages 283-287. DOI: 10.5220/0007429202830287


in Bibtex Style

@conference{iweg18,
author={Kun Sun and Liangquan Ge and Fei Li and Meng Wang and Xian Guan and Yi Gu and Qingxian Zhang},
title={Anomaly Extraction Technique of Airborne Gamma Spectrometry Based on 2-D Wavelet},
booktitle={Proceedings of the International Workshop on Environment and Geoscience - Volume 1: IWEG,},
year={2018},
pages={283-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007429202830287},
isbn={978-989-758-342-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Workshop on Environment and Geoscience - Volume 1: IWEG,
TI - Anomaly Extraction Technique of Airborne Gamma Spectrometry Based on 2-D Wavelet
SN - 978-989-758-342-1
AU - Sun K.
AU - Ge L.
AU - Li F.
AU - Wang M.
AU - Guan X.
AU - Gu Y.
AU - Zhang Q.
PY - 2018
SP - 283
EP - 287
DO - 10.5220/0007429202830287