A method for the identification of ore-caused anomalies information in the airborne γ-ray spectrum based on fractal filtering by layers
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A method for the identification of ore-caused anomalies information in the airborne γ-ray spectrum based on fractal filtering by layers
“In the field of aviation gamma spectroscopy measurement, researchers have proposed a frequency domain fractal layer by layer filtering method based on multifractal theory, which effectively identifies mineral induced anomalous information and provides new directions for related research.”
NUCLEAR TECHNIQUESVol. 42, Issue 1, (2019)
作者机构:
1.电子科技大学 资源与环境学院 成都 611731
2.成都理工大学 核技术与自动化工程学院 成都 610059
作者简介:
XIONG Chao, male, born in 1987, graduated from Chengdu University of Technology with a doctoral degree in 2016, focusing on data post
ZHAO Qing, E-mail: zhaoq@uestc.edu.cn
基金信息:
National Natural Science Foundation of China(41774147;41774190)
XIONG Chao,SUN Kun,GE Liangquan,et al.A method for the identification of ore-caused anomalies information in the airborne γ-ray spectrum based on fractal filtering by layers[J].NUCLEAR TECHNIQUES,2019,42(01):20-26.
XIONG Chao,SUN Kun,GE Liangquan,et al.A method for the identification of ore-caused anomalies information in the airborne γ-ray spectrum based on fractal filtering by layers[J].NUCLEAR TECHNIQUES,2019,42(01):20-26. DOI: 10.11889/j.0253-3219.2019.hjs.42.010201.
A method for the identification of ore-caused anomalies information in the airborne γ-ray spectrum based on fractal filtering by layers