Identification of geo-bodies in borehole radar image based on Curvelet transform

doi:10.1016/j.jappgeo.2021.104325

	Identification of geo-bodies in borehole radar image based on Curvelet transform
	Li, Li 1; Wang, Rui 1; Peng, Tianxiang 1; Hao, Jingyi 1; Zhou, Zhipeng 1; Han, Zengqiang 2
刊名	JOURNAL OF APPLIED GEOPHYSICS
	2021-06-01
卷号	189 页码:9
关键词	Ground Penetrating Radar Imaging principle of GPR Curvelet transform Reflected energy Identification of geo-bodies
ISSN号	0926-9851
DOI	10.1016/j.jappgeo.2021.104325
英文摘要	Ground Penetrating Radar (GPR) is an effective means of detecting underground structures, which can be applied to drilling engineering to detect geo-bodies in the borehole. Although the GPR image can reflect the type and distribution of the geo-bodies to some extent, it is still a research hotspot to identify the geological body based on the detection results. This paper analyzes the imaging principle of single-hole reflection survey and obtains the reason for the fringes with different intensities and directions in the GPR image. Changes in the geo-bodies cause changes in the reflected energy of the electromagnetic waves, resulting in the formation of these fringes. And the possibility of characterizing these fringes by the Curvelet transform is analyzed. Then, the change in the reflected energy of the electromagnetic wave is equivalently substituted by the change in the energy of the Curvelet coefficients of the fringes, from which the three-dimensional energy change trend figure is obtained. The identification results from the energy change figure show that except for the difficulty to identify structural planes with specific orientations and fissures with soil-filled, other geo-bodies can be effectively identified. (C) 2021 Elsevier B.V. All rights reserved.
资助项目	Open Research Fund of the State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[Z016006] ; National Natural Science Foundation of China[51879195] ; National Natural Science Foundation of China[51679257]
WOS研究方向	Geology ; Mining & Mineral Processing
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000646698900008
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/27236]
专题	中科院武汉岩土力学所
通讯作者	Li, Li
作者单位	1.Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China 2.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	Li, Li,Wang, Rui,Peng, Tianxiang,et al. Identification of geo-bodies in borehole radar image based on Curvelet transform[J]. JOURNAL OF APPLIED GEOPHYSICS,2021,189:9.
APA	Li, Li,Wang, Rui,Peng, Tianxiang,Hao, Jingyi,Zhou, Zhipeng,&Han, Zengqiang.(2021).Identification of geo-bodies in borehole radar image based on Curvelet transform.JOURNAL OF APPLIED GEOPHYSICS,189,9.
MLA	Li, Li,et al."Identification of geo-bodies in borehole radar image based on Curvelet transform".JOURNAL OF APPLIED GEOPHYSICS 189(2021):9.