|
|
Airborne gamma ray spectrum mapping effects with NASVD de-noising |
Jiu-Qiang JIN, Jin-Long WANG, Gang-Yi XIAO, Jian LI, Mao-Sheng DENG, Zhi-Bo WANG, Jiu-Ming JIANG, Qi WANG, Xin WANG, Sheng-Bo GENG |
Department of Operator & Airborne Equipment, AGRS, Beijing 100083,China |
|
|
Abstract NASVD (Noise adjusted singular value decomposition) is a spectral component analysis procedure for the removal of noise from gamma ray spectra. The procedure transforms observed spectra into orthogonal spectral components. Noise is removed from the observed spectra by rejecting noise components (high order orthogonal components) and reconstructing the spectra from lower order components which are correlated with the signal. The noise of all channels is significantly decreased by this procedure. Three Airborne datasets of survey are processed to discuss the mapping effect with NASVD de-noising. The advantage of large scale mapping with NASVD is much significant compared with traditional average filter. Nevertheless, in small scale situation, they almost show the same result.
|
Received: 20 February 2017
Published: 03 August 2018
|
|
|
|
|
|
|
测区号 | 测区A | 测区B | 测区C | 测线间距/m | 100 | 100 | 500 | 平均飞行高度/m | 154 | 120 | 91 | 测点数 | 2×104 | 5×104 | 5×105 |
|
|
|
|
|
|
|
|
窗口 | 处理后计数率 | 原始计数率 | 改善率 | 钾 | 39.1±4.1 | 40.1±6.3 | 34.9% | 铀 | 22.0±2.3 | 21.3±4.6 | 50% | 钍 | 9.3±0.8 | 9.5±3.0 | 73.3% |
|
|
|
|
| | 测区A | 测区B | 测区C | 钾 | 原始计数率/% | 5.9 | 5.7 | 6.7 | NASVD处理后/% | 4.1 | 4.4 | 5.0 | 改善率/% | 30.5 | 22.8 | 25.4 | 铀 | 原始计数率/% | 10.2 | 10.9 | 12.0 | NASVD处理后/% | 3.1 | 3.0 | 4.2 | 改善率/% | 69.6 | 72.5 | 65.0 | 钍 | 原始计数率/% | 10.0 | 10.2 | 15.4 | NASVD处理后/% | 3.3 | 3.2 | 4.6 | 改善率/% | 67.0 | 68.6 | 70.1 |
|
|
|
|
|
|
[1] |
Dickson B H, Bailey R C, Grasty R L . Utilising multichannel airborne gamma-ray spectra[J]. Can. J.of Earth Sci., 1981,18:1793-1801.
|
[2] |
Grasty R L, Glynn J E, Grant J A . The analysis of multichannel airborne gamma-ray spectra[J]. Geophysics, 1985,50:2611-2620.
|
[3] |
Minty B R S . Airborne gamma-ray spectrometric background estimation using full spectrum analysis[J]. Geophysics, 1992,57:279-287.
|
[4] |
Hovgaard J . A new processing technique for airborne gamma-ray spectrometer data (Noise adjusted singular value decomposition) [C]//Presented at the Am Nucl.Soc.Sympos.on Emergency Preparedness and Response, 1997.
|
[5] |
Hovgaard, Grasty J, Hovgaard R L . et al. Reducing statistical noise in airborne gamma-ray data through spectral component analysis [C]//Fourth Decennial International Conference on Mineral Exploration, Toronto, Canada, 1997.
|
[6] |
Minty B R, Phil M F . Improved NASVD smoothing of airborne gamma-ray spectra. Exploration Geophysics, 1998,29:516-523.
|
[7] |
Minty B R . Accurate noise reduction for airborne gamma-ray spectrometry. Exploration Geophysics, 2003,34:207-215.
|
[8] |
杨佳, 葛良全, 张庆贤 , 等. NASVD方法在航空伽玛能谱数据降噪中的应用[J]. 铀矿地质, 2010,26(2):108-113.
|
[9] |
曾国强, 葛良全, 熊盛青 , 等. 卡尔曼滤波在航空γ能谱勘查系统自动稳谱中的应用[J]. 核电子学与探测技术, 2010,30(5):698-702.
|
[10] |
周锡华、 乔广志 . 新一代航空多道伽马能谱仪的引进和初步应用[J]. 物探与化探, 2002,26(4):318-320.
|
[11] |
周锡华, 范正国, 乔广志 , 等. 航空多道伽玛能谱仪系统的升级改造研究报告[R]. 中国国土资源航空物探遥感中心, 2001.
|
[12] |
安战锋, 周锡华 . GR-820标定方法的研究报告[R]. 中国国土资源航空物探遥感中心, 2002.
|
[13] |
石磊, 周锡华, 王金龙 . GR-820飞行方法的研究报告[R]. 中国国土资源航空物探遥感中心, 2001.
|
[14] |
周锡华, 安战锋, 乔广志 . GR-820消化吸收研究报告[R]. 中国国土资源航空物探遥感中心, 2001.
|
[15] |
吴其反, 程建平, 刘桂林 , 等. 航空伽玛能谱仪标定质量评价[ C]//中国地球物理学会第19届年会, 2002.
|
[16] |
曾国强, 葛良全, 熊盛青 , 等. 数字技术在航空伽马能谱仪中的应用[J]. 物探与化探, 2010,34(2):209-213.
|
[17] |
葛良全, 曾国强, 赖万昌 , 等. 航空数字γ能谱测量系统的研制[J]. 核技术, 2011,2:156-160.
|
[18] |
骆遥, 米耀辉 . 航空伽玛能谱测量系统标定技术与标定程序[J].核电子学与探测技术, 2014(5):590-597.
|
[19] |
万建华, 熊盛青, 范正国 . 航空伽马能谱测量方法技术现状与展望[J]. 物探与化探, 2012,36(3):386-391.
|
[1] |
LIU Jian, QIN Fei-Long. The application of the improved wavelet threshold method to seismic data de-noising[J]. Geophysical and Geochemical Exploration, 2020, 44(4): 784-789. |
[2] |
Wei HUANG, Fang BEN, Jun-Feng LI, Chang-Chun YIN, Zhi-Li XU, Jun-Jie LIU. Background field removal from airborne transient electromagnetic data[J]. Geophysical and Geochemical Exploration, 2020, 44(3): 672-676. |
|
|
|
|