DocumentCode :
168824
Title :
Coal mine geological hazardous body detection using surface ground penetrating radar velocity tomography
Author :
Cui Du ; Feng Yang ; Xinjun Xu ; Xianlei Xu ; Meng Peng
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, Beijing, China
fYear :
2014
fDate :
June 30 2014-July 4 2014
Firstpage :
339
Lastpage :
344
Abstract :
Ground penetrating radar (GPR) velocity tomography has shown much promise in detection of geological hazardous body because of its ability of providing highly detailed images of wave velocity. In this paper, velocity tomography using surface GPR is presented tor detection harmful geology structure in underground coal mine. Compared with borehole radar, it avoids drilling and can be used to implement nondestructive detection with no influence on coal mining. Damping least square orthogonal triangle (LSQR) is employed to solve the large sparse velocity tomography equations. It is compared to the classical algebraic reconstruction technique (ART) and simultaneous iterative reconstruction technique (SIRT) using three synthetic geological models with representative disaster areas, namely, fault, cavity and water zone, considering both high and low velocity anomaly body. In each case, damping LSQR provides comparable or better results than ART and SIRT. The shape of the anomaly body has great influence on inversion accuracy. The simulation results verify the proposed approach can identify the location, scope and characters of disaster areas and faults parallel to transmission direction are better inverted.
Keywords :
coal; computerised tomography; geology; ground penetrating radar; iterative methods; least squares approximations; mining; ART; GPR; LSQR; SIRT; algebraic reconstruction technique; borehole radar; coal mining; geological hazardous body detection; geology structure; inversion accuracy; least square orthogonal triangle; nondestructive detection; representative disaster areas; simultaneous iterative reconstruction technique; sparse velocity tomography; surface ground penetrating radar; three synthetic geological models; tor detection; transmission direction; wave velocity; Coal; Engines; Geology; Radar detection; Subspace constraints; Velocity measurement; GPR; damping LSQR; inversion algorithm; velocity tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ground Penetrating Radar (GPR), 2014 15th International Conference on
Conference_Location :
Brussels
Type :
conf
DOI :
10.1109/ICGPR.2014.6970441
Filename :
6970441
Link To Document :
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