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Journal of Sensors
Volume 2018, Article ID 3095427, 10 pages
https://doi.org/10.1155/2018/3095427
Research Article

Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building

1Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an 710048, China
2Institute of Geotechnical Engineering, Xi’an University of Technology, Xi’an 710048, China
3State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, Shaanxi 710048, China
4Geochemical Exploration Team of Shaanxi Geological Mineral Survey Group, Xi’an 710023, China

Correspondence should be addressed to Ning Li; nc.ude.tuax@ilgnin

Received 29 December 2017; Accepted 20 February 2018; Published 7 May 2018

Academic Editor: Hyung-Sup Jung

Copyright © 2018 Gao Lv et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Gao Lv, Ning Li, Jie Yang, Xianchun Yao, Dexiu Hu, and Rixuan Pang, “Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building,” Journal of Sensors, vol. 2018, Article ID 3095427, 10 pages, 2018. https://doi.org/10.1155/2018/3095427.