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

2018

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.

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