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PCA applied to Data Fusion for Subsurface Target Imaging of Full-polarimetric GPR

IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Cewen Xue Xuan Feng Haoqiu Zhou Xiaotian Li Wenjing Liang Ying Wang College of Geo-Exploration Science and Technology Jilin University No.938 Xi MinZhu Street Changchun 130026 China Science and Technology on Near-Surface Detection Laboratory Wuxi 214035 China Institute of National Development and Security Studies Jilin University No.2699 Qianjin Street Changchun 130012 China Key Laboratory of Geophysical Exploration Equipment Ministry of Education (Jilin University) No.938 Xi MinZhu Street Changchun 130026 China

Full-polarimetric ground penetrating radar (GPR) can obtain more comprehensive polarization data (called VV, HH, VH) for the same target than traditional commercial radar (only VV). We need to use data fusion technology to combine the polarization information of the three different polarization modes. However, the full-polarimetric GPR data fusion method has one weighted average fusion, which will mask the advantages of full polarization. Principal component analysis (PCA) is a technology of data dimensionality reduction and compression which can use VV, HH and VH as a three-dimensional data to conduct data dimensionality reduction and find the best data fusion results. In order to check the reliability, we obtained the full-polarimetric GPR data of three typical targets in the laboratory for analysis. Then we compare PCA with the weighted average fusion method by using the instantaneous amplitude and conclude that PCA can fuse full-polarimetric GPR data better than weighted average fusion.

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Method for Detecting Multi-Modal Vibration Characteristics of Landmines

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Instrumentation 2018年第4期5卷 39-45页

作者： WANG Chi DUAN Naiyuan WU Zhiqiang MA Hui ZHU Jun Dept.of Precision Mechanical Engineering Shanghai UniversityShanghai 200072 Key Science and Technology on Near-surface Detection Laboratory Wuxi 214035

The acoustic vibration characteristics of landmines are investigated by means of modal analysis. According to the mechanical structure of landmines, a certain number of points are marked on the landmine shell to analyze its multi-modal vibration characteristics, based on laser self-mixing interferometer and taking 69 plastic landmine as an example, the vibration detection experiment system is built to show the results of analytical method of multi-modal testing. The first and second order natural frequencies of the bricks are 38 HZ and 106 HZ, 112 HZ and 232 HZ for plastic landmines, and 74 HZ and 290 HZ for metal landmines. The first and second order natural frequencies of the bricks are far smaller than those of plastic landmines and metal landmines. This indicates that landmines show multi-modal vibration characteristics under external excitation, which are significantly different from those of bricks. The findings can be used for further research on acoustic landmines detection technology.

关键词： Multi-Modal Vibration Natural Frequency Vibration Mode Acoustic Landmines detection

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Optimization of Overhauser magnetometer based on multi-channel frequency measurement algorithm 37

Optimization of Overhauser magnetometer based on multi-chann...

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37th Chinese Control Conference, CCC 2018

作者： Wang, Guanzhong Dong, Haobin Ge, Jian Luo, Vang Liu, Huan Yuan, Zhiwen Zhu, Jun Zhang, Haiyang School of Automation China University of Geosciences Wuhan Hubei430074 China Hubei Key Laboratory of Advance Control and Intelligent Automation for Complex Systems Hubei Wuhan430074 China Science and Technology on Near-Surface Detection Laboratory Wuxi Jiangsu214035 China

ISBN: (纸本)9789881563941

Overhauser magnetometer is a weak magnetic measuring instrument based on the dynamic nuclear polarization of free radical species. It has the characteristics of high precision, high sensitivity, low power consumption and continuous measurement. It is widely used in geophysics, aeromagnetic surveying, satellite Magnetic measuring, military and various engineering fields. Aiming at the problem that the measurement accuracy of the magnetometer prototype is low and the measurement effect is poor when the angle between the probe axis and the geomagnetic field is 0°, several optimization methods are proposed and the magnetometer is optimized by adding the frequency measurement channel on the basis of the prototype. Based on the standard deviation of GSM-19 measurement data, comparing the experimental data that use the multi -channel frequency measurement algorithm, the standard deviation of prototype data decreases from 0.397 to 0.203 when the angle between probe axial and geomagnetic field is 45°, the standard deviation of the prototype data decreases from 0.631 to 0.371 when the angle between probe axial and geomagnetic field is 0°, which provides an important reference for the follow-up optimization of the magnetometer. © 2018 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Magnetometers

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A full-polarimetric GPR system and its application in ice crack detection

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IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Xiaotian Li Xuan Feng Wenjing Liang Cewen Xue Haoqiu Zhou Ying Wang College of Geo-Exploration Science and Technology Jilin University No.938 Xi Min Zhu Street Changchun 130026 China Science and Technology on Near-Surface Detection Laboratory Wuxi 214035 China Institute of National Development and Security Studies Jilin University No.2699 Qianjin Street Changchun 130012 China Key Laboratory of Geophysical Exploration Equipment Ministry of Education (Jilin University) No.938 Xi Min Zhu Street Changchun 130026 China

The warming season of Antarctica, where sea ice melts and breaks, is often the golden time for Antarctic research. But this season is also a high frequency season for the formation of ice crack, the existence of which poses a serious threat to Antarctic scientific research. Therefore, it is of important significance to monitor the trend, location, and depth of Antarctic sea ice crack in real time. Ice crack detection often uses ground penetrating radar (GPR) technology. Compared with the single-polarimetric GPR, full-polarimetric GPR can obtain more comprehensive polarization information. Therefore, a full-polarimetric GPR system based on the horn antenna is built in this paper to obtain more abundant ice crack information. Then we apply it to detect a small-scale ice crack atop frozen lakes. The analysis of the experiments and data fusion processing results can verify the effectiveness of the system for the detection of ice crack and lay the foundation for subsequent actual detection.

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Observation of the Y(4230)and a new structure in e^(+)e^(-)→K^(+)K^(-)J/Ψ

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Chinese Physics C 2022年第11期46卷 7-21页

作者： M.Ablikim M.N.Achasov P.Adlarson M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban V.Batozskaya D.Becker K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov C.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Z.J.Chen W.S.Cheng X.Chu G.Cibinetto F.Cossio J.J.Cui H.L.Dai J.P.Dai A.Dbeyssi R.Ede Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du P.Egorov Y.L.Fan J.Fang S.S.Fang W.X.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng K Fischer M.Fritsch C.Fritzsch C.D.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco M.H.Gu C.Y Guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold M.Himmelreich T.Holtmann G.Y.Hou Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.Q.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain N Husken W.Imoehl M.Irshad J.Jackson S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji Y.Y.Ji Z.K.Jia H.B.Jiang S.S.Jiang X.S.Jiang Y.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin M.Q.Jing T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc W.Kuhn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.Li H.B.Li H.J.Li H.N.Li J.Q.Li J.S.Li J.W.Li Ke Li L.J Li L.K.Li Lei Li M.H.Li P.R.Li S.X.Li S.Y.Li T.Li W.D.Li W.G.Li X.H.Li X.L.Li Xiaoyu Li Z.Y.Li H.Liang H.Liang H.Liang Y.F.Liang Y.T.Liang G.R.Liao L.Z.Liao J.Libby A.Limphirat C.X.Lin D.X.Lin T.Lin B.J.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu G.M.Liu H.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.L.Liu J.Y.Liu K.Liu K.Y.L Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Beijing Institute of Petrochemical Technology Beijing 102617China Bochum Ruhr-University D-44780 BochumGermany Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China China Center of Advanced Science and Technology Beijing 100190China COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China G.I.Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Hangzhou Normal University Hangzhou 310036China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Ave.54BUlaanbaatar 13330Mongolia Jilin University Changchun 130012China Johannes Gutenberg University of Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Joint Institute for Nuclear Research 141980 DubnaMoscow regionRussia Justus-Liebig-Universitaet Giessen II.Physikalisches InstitutHeinrich-Buff-Ring 16

The cross sections of e^(+)e^(-)→K^(+)K^(-)J/Ψat center-of-mass energies from 4.127 to 4.600 GeV are measured based on 15.6 fb-1data collected with the BESⅢ detector operating at the BEPCⅡ storage *** resonant structures are observed in the line shape of the cross *** mass and width of the first structure are measured to be(4225.3±2.3±21.5)MeV and(72.9±6.1±30.8)MeV,*** are consistent with those of the established Y(4230).The second structure is observed for the first time with a statistical significance greater than 8σ,denoted as Y(4500).Its mass and width are determined to be(4484.7±13.3±24.1)MeV and(111.1±30.1±15.2)MeV,*** first presented uncertainties are statistical and the second ones are *** product of the electronic partial width with the decay branching fractionΓ(Y(4230)→e^(+)e^(−))B(Y(4230)→K^(+)K^(−)J/Ψ)is reported.

关键词： Y states charmonium-like states BESⅢ

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Luminosities and energies of e^(+)e^(−) collision data taken between √s=4.61 GeV and 4.95 GeV at BESⅢ

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Chinese Physics C 2022年第11期46卷 64-75页

From December 2019 to June 2021,the BESⅢ experiment collected approximately 5.85 fb^(−1) of data at center-of-mass energies between 4.61 and 4.95 *** is the highest collision energy BEPCⅡ has reached to *** accumulated e^(+)e^(−) annihilation data samples are useful for studying charmonium(-like)states and charmed-hadron *** adopting a novel method of analyzing the production of A_(c)^(+)A_(c)^(-) pairs in e^(+)e^(−) annihilation,the center-of-mass energies are measured with a precision of 0.6 *** luminosities are measured with a precision of better than 1% by analyzing the events of large-angle Bhabha *** measurements provide important inputs to analyses based on these data samples.

关键词： luminosity center-of-mass energy BESⅢdetector

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Measurement of integrated luminosities at BESⅢ for data samples at center-of-mass energies between 4.0 and 4.6 GeV

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Chinese Physics C 2022年第11期46卷 53-63页

作者： M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban V.Batozskaya D.Becker K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov C.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Z.J.Chen W.S.Cheng X.Chu G.Cibinetto F.Cossio J.J.Cui H.L.Dai J.P.Dai A.Dbeyssi R.Ede Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du P.Egorov Y.L.Fan J.Fang S.S.Fang W.X.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng K Fischer M.Fritsch C.Fritzsch C.D.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco M.H.Gu C.Y Guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold M.Himmelreich T.Holtmann G.Y.Hou Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.Q.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain N Husken W.Imoehl M.Irshad J.Jackson S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji Y.Y.Ji Z.K.Jia H.B.Jiang S.S.Jiang X.S.Jiang Y.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin M.Q.Jing T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc W.Kuhn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.Li H.B.Li H.J.Li H.N.Li J.Q.Li J.S.Li J.W.Li Ke Li L.J Li L.K.Li Lei Li M.H.Li P.R.Li S.X.Li S.Y.Li T.Li W.D.Li W.G.Li X.H.Li X.L.Li Xiaoyu Li Z.Y.Li H.Liang H.Liang H.Liang Y.F.Liang Y.T.Liang G.R.Liao L.Z.Liao J.Libby A.Limphirat C.X.Lin D.X.Lin T.Lin B.J.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu G.M.Liu H.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.L.Liu J.Y.Liu K.L Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Beijing Institute of Petrochemical Technology Beijing 102617China Bochum Ruhr-University D-44780 BochumGermany Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China China Center of Advanced Science and Technology Beijing 100190China COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China G.I.Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Hangzhou Normal University Hangzhou 310036China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Ave.54BUlaanbaatar 13330Mongolia Jilin University Changchun 130012China Johannes Gutenberg University of Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Joint Institute for Nuclear Research 141980 DubnaMoscow regionRussia Justus-Liebig-Universitaet Giessen II.Physikalisches InstitutHeinrich-Buff-Ring 16

The integrated luminosities of data samples collected in the BESⅢ experiment in 2016-2017 at centerof-mass energies between 4.19 and 4.28 GeV are measured with a precision better than 1% by analyzing large-angle Bhabha scattering *** integrated luminosities of old datasets collected in 2010-2014 are updated by considering corrections related to detector performance,offsetting the effect of newly discovered readout errors in the electromagnetic calorimeter,which can haphazardly occur.

关键词： integrated luminosity e^(+)e^(-)annihilation Bhabha scattering

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A resonant cavity based on birdcage coil for overhauser geomagnetic sensor

A resonant cavity based on birdcage coil for overhauser geom...

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2018 IEEE International Instrumentation and Measurement technology Conference, I2MTC 2018

作者： Bai, Bingjie Dong, Haobin Ge, Jian Liu, Huan Zhang, Cheng Wang, Luo Institute of Geophysics and Geomatics China University of Geosciences Hubei Wuhan China School of Automation China University of Geosciences Hubei Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Hubei Wuhan China Science and Technology on Near-Surface Detection Laboratory Jiangsu Wuxi China

ISBN: (纸本)9781538622223

The resonant cavity is an important component of Overhauser magnetometer sensor. Its function is to make the working substance generate dynamic nuclear polarization effect in the sensor. An alternative design of resonant cavity based on the birdcage coil structure was proposed to make the resonant frequency in accordance with the polarization frequency of the working substance. The structure and equivalent circuit of resonant cavity were analyzed. The model of resonant cavity was established and S-parameter is calculated to verify the frequency consistency of the resonant cavity and working substance. In addition, output signal experiment and simultaneous comparison testing of sensor prototype were conducted. Overall, this design has the advantages of high performance and strong anti-interference. © 2018 IEEE.

关键词： Equivalent circuits

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Full-polarimetric GPR for detecting ice fractures 17

Full-polarimetric GPR for detecting ice fractures

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17th International Conference on Ground Penetrating Radar, GPR 2018

作者： Luo, Chaopeng Feng, Xuan Liu, Cai Zhang, Yan Nilot, Enhedelihai Zhang, Minghe Dong, Zejun Zhou, Haoqiu Science and Technology Near-Surface Detection Laboratory China Key Laboratory of Geophysical Exploration Equipment Ministry of Education Jilin University No.938 Xi MinZhu Street Changchun130026 China College of Geo-exploration Science and Technology Jilin University No.938 Xi Minzhu Street Changchun130026 China College of Earth Sciences Jilin University Changchun130061 China

ISBN: (纸本)9781538657775

The real-time monitoring of ice fracture width and direction is of great significance for the safety of Antarctic scientific expedition and the understanding of the process of ice fracture induced by avalanches. Using full-polarimetric ground penetrating radar (GPR) system to detect ice cracks, the scattering matrix is obtained and processed by polarization decomposition. Compared with the traditional pulse radar, more comprehensive and more intuitive information of ice cracks can be obtained. By using the Pauli decomposition method in polarization decomposition, the forward data obtained by the three-dimensional finite difference time domain (FDTD) method is processed, and the applicability of the proposed decomposition method is proved. For testing the feasibility, we performed numerical and laboratory experiments and applied the Pauli decomposition to the GPR data for ice fracture characterization. On this basis, the method is used to imaging small scale ice cracks on the lake surface, and good results are achieved, which paves the way for further practical application. © 2018 IEEE.

关键词： Polarization

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Anti-personnel Mine detection by Sparse Representation of GPR B-scan Radargram Image

Anti-personnel Mine Detection by Sparse Representation of GP...

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Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Tao Sun Chaopeng Luo Mengna Liu Liqing Zhou Xianxiu Tang Riheng Meng Xinjian Tang Weifeng Hao Electronic Information School of Wuhan University Wuhan China Science and Technology on Near-Surface Detection Laboratory Wuxi China Hubei Water Resources Technical College Wuhan China State Key Laboratory of Geomechanics and Geotechnical Engineering Institutude of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan China Antarctic Center of Sureying and Mapping of Wuhan Univeristy Wuhan China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Ground penetrating radar is an efficient close-range remote sensing and non-destructive-testing technique, which probes ultra-wide-band electromagnetic pulses to detect underground targets. Then theirs geometric features and material property characters will been figured out. A major clutter interference coupling with the response of the subsurface-buried-landmine is direct air wave and direct ground reflected waves, which hinder shallow buried landmine precise detection and discrimination. As for shallow buried targets, in this paper, a clutter and target response echo decoupling method with Linear-Gain-Compensation-Robust-PCA algorithm is proposed based on low-rank prior of clutters and target distribution spatial sparse prior. Compared with Principal Component Analysis, mean subtract algorithm, the performance of LGC-RPCA method is tested with simulations and indoor sand-box experiments. These demonstrate that the LGC-RPCA method with inexact augmented Lagrangian function is an efficient algorithm for shallow buried landmine detection and discrimination. Then, it will reduce the false alarm rate for identification of shallow buried anti-personnel Mine.

关键词： Sparse representation Ground Penetrating Radar Low-Rank Linear-Gain-Compensation Robust-PCA sparse representation ground penetrating radar clutter underground Antipersonnel mines electromagnetic pulses false alarm probability Lagrangian efficient algorithm

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