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

S. Nebiker, S. Cavegn, H. Eugster, K. Laemmer, J. Markram, R. Wagner
<span title="2012-07-27">2012</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
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 whichin combination with the original airborne and terrestrial stereo imagerycreate 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
more &raquo; ... l 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xxxix-b4-79-2012">doi:10.5194/isprsarchives-xxxix-b4-79-2012</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ggwaxi6q5bafzoshnher3hg3n4">fatcat:ggwaxi6q5bafzoshnher3hg3n4</a> </span>
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