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Proceedings Paper

Automatic geo-registration of aerial image sequence with untextured LIDAR data using line features
Author(s): Jun Wu
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Paper Abstract

This paper presents one from-Coarse-to-Fine approach to geo-register photogrammetry image sequence to un-textured LIDAR point clouds. First, Photogrammetric Automatic Aerial Triangulation (AAT) Technique is altered to coarsely geo-register image sequence to LIDAR points; After that, LIDAR-Image-Mutual line feature extraction and correspondence strategy is proposed to generate 3D space line from LIDAR points, extract image lines and establish correspondence effectively; Next, "Line Photogrammetric" technique is utilized to map generated conjunctive line features and to refine previous geo-register result under Least Squares adjustment; Finally, geo-registration experiment with developed approach is conducted and contributions are concluded as well. The experimental result shows that proposed approach is robust and effective.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962D (30 October 2009); doi: 10.1117/12.833457
Show Author Affiliations
Jun Wu, Guilin Univ. of Electronic Technology (China)


Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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