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Line unit correction method of airborne gamma-ray spectrum anomaly information based on wavelet transform
- NUCLEAR TECHNIQUES Vol. 41, Issue 10, Article number: 100501(2018)
- 作者机构：
1.成都理工大学 核技术与自动化工程学院 成都 610059
2.电子科技大学 资源与环境学院 成都 611731
- 作者简介：
- 基金信息：
DOI：10.11889/j.0253-3219.2018.hjs.41.100501
CLC： TL84Received：20 June 2018，
Revised：11 July 2018，
Published：10 October 2018
- 稿件说明：
移动端阅览
Kun SUN, Chao XIONG, Liangquan GE, et al. Line unit correction method of airborne gamma-ray spectrum anomaly information based on wavelet transform[J]. Nuclear techniques, 2018, 41(10): 100501
Kun SUN, Chao XIONG, Liangquan GE, et al. Line unit correction method of airborne gamma-ray spectrum anomaly information based on wavelet transform[J]. Nuclear techniques, 2018, 41(10): 100501 DOI： 10.11889/j.0253-3219.2018.hjs.41.100501.
摘要
针对航空γ能谱测量工作时矿致异常信息在时域批次性干扰下难以有效提取的问题，结合小波变换理论与测线标准差变异系数理论，提出一种新的线单元校正方法。该方法利用小波变换擅长处理非稳态采样数据信号的特性，采用小波变换对线单元数据进行多尺度分解，通过软阈值滤除近似信号，有效去除含有时域批次性干扰的非地质背景信息，并对表征异常的细节信息进行重构，实现对时域批次性干扰的线单元校正。通过对实测数据的校正处理验证，结合航空伽马能谱地面异常查证结果及矿区地质简图，表明该方法削弱时域批次性效果明显，缩小了异常范围，提高了矿致异常点识别准确性，且异常形态与地面查证结果一致，客观还原测区的放射性核素分布情况。
Abstract
Background
2
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
2
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
2
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
2
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
2
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.
关键词
Keywords
references
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