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Remote Sens. 2016, 8(4), 278; doi:10.3390/rs8040278

Registration of Long-Strip Terrestrial Laser Scanning Point Clouds Using RANSAC and Closed Constraint Adjustment

School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
Department of Geography and GeoInformation Sciences, College of Science, George Mason University, Fairfax, VA 22030, USA
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Department of Geography & Environmental Management, University of Waterloo, ON N2L3G1, Canada
Author to whom correspondence should be addressed.
Academic Editors: Nicolas Baghdadi, Henrique Lorenzo and Prasad S. Thenkabail
Received: 30 December 2015 / Revised: 10 March 2016 / Accepted: 21 March 2016 / Published: 28 March 2016
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The registration of long-strip, terrestrial laser scanning (TLS) point clouds is a prerequisite for various engineering tasks, including tunnels, bridges, and roads. An artificial target-based registration method is proposed in this paper to automatically calculate registration parameters (i.e., rotation, translation) of scanned pairs without initial estimations. The approach is based on the well-known Random Sample Consensus (RANSAC) method and effectively searches the point cloud for corresponding returns from a system of artificial targets. In addition, Closed Constraint Adjustment (CCA) is integrated into the registration method to significantly reduce the accumulative error. Experimental results demonstrate the robustness and feasibility of the proposed approach. It is a promising approach to register automatically long strips with limited external control points with satisfactory precision. View Full-Text
Keywords: terrestrial laser scanning; long-strip; registration; Closed Constraint Adjustment (CCA) terrestrial laser scanning; long-strip; registration; Closed Constraint Adjustment (CCA)

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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. (CC BY 4.0).

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Zheng, L.; Yu, M.; Song, M.; Stefanidis, A.; Ji, Z.; Yang, C. Registration of Long-Strip Terrestrial Laser Scanning Point Clouds Using RANSAC and Closed Constraint Adjustment. Remote Sens. 2016, 8, 278.

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