Volume XL-5/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W2, 171-176, 2013
https://doi.org/10.5194/isprsarchives-XL-5-W2-171-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W2, 171-176, 2013
https://doi.org/10.5194/isprsarchives-XL-5-W2-171-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  19 Jul 2013

19 Jul 2013

ACCURACY ASSESSMENT OF A CANAL-TUNNEL 3D MODEL BY COMPARING PHOTOGRAMMETRY AND LASERSCANNING RECORDING TECHNIQUES

P. Charbonnier1, P. Chavant2,1, P. Foucher1, V. Muzet1, D. Prybyla1, T. Perrin1, P. Grussenmeyer2, and S. Guillemin2 P. Charbonnier et al.
  • 1CETE de l’Est, LRPC de Strasbourg, 11 rue Jean Mentelin, 67035 Strasbourg, France
  • 2ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group, INSA de Strasbourg, 24 Bd de la Victoire, 67084 Strasbourg, France

Keywords: Photogrammetry, Cultural Heritage, Laser Scanning, Point Cloud, Model, Recording, Accuracy, Comparison

Abstract. With recent developments in the field of technology and computer science, conventional methods are being supplanted by laser scanning and digital photogrammetry. These two different surveying techniques generate 3-D models of real world objects or structures. In this paper, we consider the application of terrestrial Laser scanning (TLS) and photogrammetry to the surveying of canal tunnels. The inspection of such structures requires time, safe access, specific processing and professional operators. Therefore, a French partnership proposes to develop a dedicated equipment based on image processing for visual inspection of canal tunnels. A 3D model of the vault and side walls of the tunnel is constructed from images recorded onboard a boat moving inside the tunnel. To assess the accuracy of this photogrammetric model (PM), a reference model is build using static TLS. We here address the problem comparing the resulting point clouds. Difficulties arise because of the highly differentiated acquisition processes, which result in very different point densities. We propose a new tool, designed to compare differences between pairs of point cloud or surfaces (triangulated meshes). Moreover, dealing with huge datasets requires the implementation of appropriate structures and algorithms. Several techniques are presented : point-to-point, cloud-to-cloud and cloud-to-mesh. In addition farthest point resampling, octree structure and Hausdorff distance are adopted and described. Experimental results are shown for a 475 m long canal tunnel located in France.