Volume XXXIX-B4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 79-84, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B4-79-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 79-84, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B4-79-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  27 Jul 2012

27 Jul 2012

FUSION OF AIRBORNE AND TERRESTRIAL IMAGE-BASED 3D MODELLING FOR ROAD INFRASTRUCTURE MANAGEMENT – VISION AND FIRST EXPERIMENTS

S. Nebiker1, S. Cavegn1, H. Eugster2,1, K. Laemmer3, J. Markram3, and R. Wagner3 S. Nebiker et al.
  • 1Institute of Geomatics Engineering, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland
  • 2iNovitas AG, Mobile Mapping Solutions, Muttenz, Switzerland
  • 3Hexagon Geosystems, Geospatial Solutions, Heerbrugg, Switzerland

Keywords: Stereoscopic, Image, Matching, Point Cloud, Three-dimensional, Modelling, Visualization, Virtual Reality

Abstract. In this paper we present the vision and proof of concept of a seamless image-based 3d modelling approach fusing airborne and mobile terrestrial imagery. The proposed fusion relies on dense stereo matching for extracting 3d point clouds which – in combination with the original airborne and terrestrial stereo imagery – create a rich 3d geoinformation and 3d measuring space. For the seamless exploitation of this space we propose using a new virtual globe technology integrating the airborne and terrestrial stereoscopic imagery with the derived 3d point clouds. The concept is applied to road and road infrastructure management and evaluated in a highway mapping project combining stereovision based mobile mapping with high-resolution multispectral airborne road corridor mapping using the new Leica RCD30 sensor.