Open AccessThis article is
- freely available
Block-to-Point Fine Registration in Terrestrial Laser Scanning
Geodätisches Institut, Leibniz Universität Hannover, D-30167 Hannover, Germany
Received: 23 October 2013; in revised form: 3 December 2013 / Accepted: 5 December 2013 / Published: 11 December 2013
Abstract: Fine registration of point clouds plays an important role in data analysis in Terrestrial Laser Scanning (TLS). This work proposes a block-to-point fine registration approach to correct the errors of point clouds from TLS and of geodetic networks observed using total stations. Based on a reference coordinate system, the block-to-point estimation is performed to obtain representative points. Then, fine registration with a six-parameter transformation is performed with the help of an Iterative Closest Point (ICP) method. For comparisons, fine registration with a seven-parameter transformation is introduced by applying a Singular Value Decomposition (SVD) algorithm. The proposed method not only corrects the registration errors between a geodetic network and the scans, but also considers the errors among the scans. The proposed method was tested on real TLS data of a dam surface, and the results showed that distance discrepancies of estimated representative points between scans were reduced by approximately 60%.
Keywords: terrestrial laser scanning; fine registration; block-to-point estimation; systematic errors
Citations to this Article
Cite This Article
MDPI and ACS Style
Wang, J. Block-to-Point Fine Registration in Terrestrial Laser Scanning. Remote Sens. 2013, 5, 6921-6937.
Wang J. Block-to-Point Fine Registration in Terrestrial Laser Scanning. Remote Sensing. 2013; 5(12):6921-6937.
Wang, Jin. 2013. "Block-to-Point Fine Registration in Terrestrial Laser Scanning." Remote Sens. 5, no. 12: 6921-6937.