Characteristic Parameters Extraction Method of Hidden Karst Cave from Borehole Radar Signal
文献类型：期刊论文
| 作者 | Wang, Jinchao; Wang, Chuanying; Han, Zengqiang; Zou, Xianjian; Wang, Yiteng; Wang, Chao; Hu, Sheng |
| 刊名 | INTERNATIONAL JOURNAL OF GEOMECHANICS
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 20期号:8页码:11 |
| 关键词 | Borehole radar Hidden cave Edge detection Cave scale Dielectric constant |
| ISSN号 | 1532-3641 |
| DOI | 10.1061/(ASCE)GM.1943-5622.0001733 |
| 英文摘要 | A hidden karst cave has a prominent influence on the design and construction of underground engineering. In order to improve the automatic identification accuracy of hidden karst cave areas and the acquisition accuracy of characteristic parameters in borehole radar signals, combined with the reflection characteristic relationship between radar electromagnetic waves and hidden karst caves, research methods on borehole radar image pre-processing and feature parameter extraction of hidden karst caves are carried out. First, based on the original signal of a borehole radar, the reflection characteristic relationship between the electromagnetic waves of the borehole radar and a hidden karst cave is established, and the geometric model of borehole radar detection of hidden karst caves is formed. Then, the reconstruction of borehole radar signals is realized by searching the peak position of Pmusic function combined with the subspace MUSIC method. Combining the continuity of hyperbola and the gray level difference of a nonreflective region, an improved variance method is proposed, which is more suitable for the actual borehole radar image segmentation. It realizes the suspected hidden karst cave inversion by setting a threshold of continuous pixels, a simultaneous gradient operator, and a maximum interspecific variance method. Finally, according to the geometric model of borehole radar detection, the energy-weighted fitting of a hyperbolic profile is carried out, and the improved Hough transform method is used to solve the multiple characteristic parameters of the hyperbolic model, so as to extract the characteristic parameters of the hidden cave from the borehole radar signal. The example analyzed proves that the method is feasible and accurate, which can provide important data support for underground engineering. |
| 资助项目 | State Key Program of National Natural Science of China[41731284] ; National Natural Science Foundation for the Youth of China[41902294] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000545985000028 |
| 出版者 | ASCE-AMER SOC CIVIL ENGINEERS |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/24492]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Wang, Jinchao |
| 作者单位 | Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jinchao,Wang, Chuanying,Han, Zengqiang,et al. Characteristic Parameters Extraction Method of Hidden Karst Cave from Borehole Radar Signal[J]. INTERNATIONAL JOURNAL OF GEOMECHANICS,2020,20(8):11. |
| APA | Wang, Jinchao.,Wang, Chuanying.,Han, Zengqiang.,Zou, Xianjian.,Wang, Yiteng.,...&Hu, Sheng.(2020).Characteristic Parameters Extraction Method of Hidden Karst Cave from Borehole Radar Signal.INTERNATIONAL JOURNAL OF GEOMECHANICS,20(8),11. |
| MLA | Wang, Jinchao,et al."Characteristic Parameters Extraction Method of Hidden Karst Cave from Borehole Radar Signal".INTERNATIONAL JOURNAL OF GEOMECHANICS 20.8(2020):11. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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