Nuclear Techniques ›› 2018, Vol. 41 ›› Issue (10): 100501-100501.doi: 10.11889/j.0253-3219.2018.hjs.41.100501


Line unit correction method of airborne gamma-ray spectrum anomaly information based on wavelet transform

SUN Kun1, XIONG Chao2, GE Liangquan1, ZHANG Qingxian1, HE Qingju1, WANG Meng1, GU Yi1   

  1. 1 The College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China;
    2 School of Resources and Environment, University of Electronic Science and Technology, Chengdu 611731, China
  • Received:2018-06-20 Revised:2018-07-11 Online:2018-10-10 Published:2018-10-16
  • Supported by:
    Supported by National Key Research and Development Plan (No.2017YFC0602105), National Natural Science Foundation of China (No.41774147, No.41774190), Scientific Research Fund of Sichuan Provincial Education Department (No.16ZA0085)

Abstract: [Background] Due to different measuring time, the measured data may fluctuate abnormally. Therefore, it is not easy to extract anomalous information caused by ores effectively in airborne gamma spectrometry.[Purpose] The aim was to reduce the impact caused by different measurement time, low background field, highlight anomalies, and help in guiding for metallogenic prognosis.[Methods] Since the wavelet transform is good at dealing with unsteady sampled data signals, this method used wavelet transform to perform multi-scale decomposition on the data of each measurement line unit. According to the coefficient of variation, the wavelet basis function was selected to transform the measured data, and the approximate signal was filtered by soft threshold to reconstruct the detail signal.[Results] After the approximate signals were filtered by soft thresholds, the non-geological background information containing data influenced by different measurement time can be effectively removed, and the detail information can be reconstructed to reduce the impact caused by different measurement time.[Conclusion] Through verifying the corrected measured data, combined with the ground anomaly inspection result of airborne gamma spectrum and the geological map of the mining area, the result shows that this method can significantly weaken the error caused by time domain batches, narrow the anomaly ranges, and improve the recognition accuracy of ore-causing anomaly points. Moreover, the shape of anomalies is consistent with the ground anomaly inspection result and the distribution of radionuclides can be restored in the survey area.

Key words: Airborne gamma-ray spectrometry, Anomaly information, Wavelet transform, Line unit correction

CLC Number: 

  • TL84