Change Detection in Terrestrial Laser Scanner Data Via Point Cloud Correspondence

Research Area: Volume 4,Issue 3, May 2015 Year: 2015
Type of Publication: Article Keywords: Geomatics, Terrestrial Laser Scanning, Change Detection, Point Cloud Comparison
Authors:
  • M. Tsakiri
  • V. Anagnostopoulos
Journal: IJEIR Volume: 4
Number: 3 Pages: 476-486
Month: May
Abstract:
Terrestrial laser scanning (TLS) is gaining much interest in the engineering community as a tool used to track changes in natural or object surfaces in 3D at an unprecedented resolution and precision. Unraveling surface change in this context requires the comparison of measurements of the same surface at different time periods. In this paper, it is discussed how TLS data can be used in change detection of small magnitude (up to few cm) via direct point cloud comparison. The strategy includes point cloud data acquired at multiple epochs, then referenced into a common coordinate system and applying 3D point correspondence to detect the surface changes. Four different algorithms, namely the nearest neighbour, nearest neighbour with local modelling, normal shooting and iterative closest point (ICP) are examined. A comparison of the performance of the algorithms is given with a validation experiment where a deformation measurement scenario was simulated. The study has shown that the most consistent results are provided by the nearest neighbour with local modelling and the ICP algorithms.

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