中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Application of sparse representation of ground penetrating radar data in a study of extracting rock fracture signature

文献类型:会议论文

作者Tang, Xinjian1; Ren, Weizhong1; Sun, Tao2; Hou, Renjun2
出版日期2014
会议日期JUN 30-JUL 04, 2014
会议地点Brussels, BELGIUM
关键词Curvelet transform Fracture signature Ground penetrating radar Matching Pursuit
页码937-940
英文摘要Due to complex subsurface situation, echo signals surveyed with Ground Penetration Radar (GPR) often contain a lot of clutters, including direct-coupling wave, random noises and multiples. Existence of these clutters submerges measured feature signals of rock structures with GPR, so suppression of them is often essential conduct for rock feature extraction. For extracting rockmass structure features from surveyed GPR data signals, sparse representation (SR) of the signals is an invaluable scheme with a small number of elementary signals from over-complete dictionary. In processing GPR signal data for extraction of rock structure and fracture features, this paper investigates sole Curvelet transform or matching pursuit (MP) for direct-coupling wave and clutter suppression and feature extraction, and analyzes their limitations. By modeling ground penetrating radar signals with sparse decomposition, the method can achieve better results. Experimental results with simulation as well as real field data show that the proposed sparse decomposition achieves efficient signal representation and yields discriminative features for geological interpretation.
会议录PROCEEDINGS OF THE 2014 15TH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR (GPR 2014)
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
WOS研究方向Engineering ; Telecommunications
WOS记录号WOS:000361002500181
源URL[http://119.78.100.198/handle/2S6PX9GI/4823]  
专题岩土力学所知识全产出_会议论文
国家重点实验室知识产出_会议论文
作者单位1.Chinese Acad Sci, State Key Lab Geomech & Geotech Engn, Inst Rock & Soil Mech ;
2.Wuhan Univ, Elect Infonnat Sch
推荐引用方式
GB/T 7714
Tang, Xinjian,Ren, Weizhong,Sun, Tao,et al. Application of sparse representation of ground penetrating radar data in a study of extracting rock fracture signature[C]. 见:. Brussels, BELGIUM. JUN 30-JUL 04, 2014.

入库方式: OAI收割

来源:武汉岩土力学研究所

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