The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-5/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W5, 153–159, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W5-153-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W5, 153–159, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W5-153-2015

  09 Apr 2015

09 Apr 2015

BUILDING A 3D REFERENCE MODEL FOR CANAL TUNNEL SURVEYING USING SONAR AND LASER SCANNING

E. Moisan1, P. Charbonnier1, P. Foucher1, P. Grussenmeyer2, S. Guillemin2, and M. Koehl2 E. Moisan et al.
  • 1Cerema Dter Est, ERA27 IFSTTAR, 11 rue Jean Mentelin, B.P. 9, 67035 Strasbourg, France
  • 2ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group, INSA Strasbourg, 24 Boulevard de la Victoire, 67084 Strasbourg, France

Keywords: 3D Bathymetry, Data processing and 3D Modeling, Reference control and accuracy assessment

Abstract. Maintaining canal tunnels is not only a matter of cultural and historical preservation, but also a commercial necessity and a security issue. This contribution adresses the problem of building a full 3D reference model of a canal tunnel by merging SONAR (for underwater data recording) and LASER data (for the above-water parts). Although both scanning devices produce point clouds, their properties are rather different. In particular, SONAR data are very noisy and their processing raises several issues related to the device capacities, the acquisition setup and the tubular shape of the tunnel. The proposed methodology relies on a denoising step by meshing, followed by the registration of SONAR data with the geo-referenced LASER data. Since there is no overlap between point clouds, a 3-step procedure is proposed to robustly estimate the registration parameters. In this paper, we report a first experimental survey, which concerned the entrance of a canal tunnel. The obtained results are promising and the analysis of the method raises several improvement directions that will help obtaining more accurate models, in a more automated fashion, in the limits of the involved technology.