Next Article in Journal
Long-Term Satellite Detection of Post-Fire Vegetation Trends in Boreal Forests of China
Previous Article in Journal
Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis
Article Menu

Export Article

Open AccessArticle

Block-to-Point Fine Registration in Terrestrial Laser Scanning

Geodätisches Institut, Leibniz Universität Hannover, D-30167 Hannover, Germany
Remote Sens. 2013, 5(12), 6921-6937;
Received: 23 October 2013 / Revised: 3 December 2013 / Accepted: 5 December 2013 / Published: 11 December 2013
PDF [1659 KB, uploaded 19 June 2014]


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%. View Full-Text
Keywords: terrestrial laser scanning; fine registration; block-to-point estimation; systematic errors terrestrial laser scanning; fine registration; block-to-point estimation; systematic errors

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Wang, J. Block-to-Point Fine Registration in Terrestrial Laser Scanning. Remote Sens. 2013, 5, 6921-6937.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top