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Terrestrial Scanning / Architecture, Infrastructure & Construction

Teng Xu, Lijun Xu, Xiaolu Li, and Junen Yao: Detection of Water Leakage in Underground Tunnels Using Corrected Intensity Data and 3D Point Cloud of Terrestrial Laser Scanning 29.06.2018

In this paper, a new method is proposed for the water leakage detection in underground tunnels by using the corrected intensity data and 3D point cloud of a terrestrial laser scanning (TLS) sensor. In the proposed method, the distance effect on the TLS intensity is first corrected based on a piecewise linear interpolation by using a reference target. Then, the distance-corrected intensity data are used to determine the surface roughness parameter that is specially considered to correct the incident angle effect. After corrections of distance and incident angle effects, the corrected intensity data are used to detect the water leakage regions in the underground tunnel. Finally, the appendages on the tunnel wall are removed by using the 3D point cloud data to eliminate their inuence on water leakage detection. To validate the feasibility of the proposed method, a case study in an underground tunnel in Beijing, China, was conducted by using a TLS sensor. Experimental results have demonstrated that the water leakage regions in the underground tunnel can be well extracted by using the corrected intensity data and 3-D point cloud, especially when the surface roughness is considered.

For this project of the State Key Laboratory of Inertial Science and Technology, School of Instrument Science and Opto-Electronic Engineering, Beihang University, China, a RIEGL VZ-400i 3D Terrestrial Scanner, provided by RIEGL’s distribution partner Five Star Electronic Technologies Co. Ltd., was used to acquire the 3D point data and intensity data of the underground tunnel.

The full paper was published on the platform IEEE Xplore in June 2018 and can be found here.