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)
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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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