Paper
30 October 2009 Automatic geo-registration of aerial image sequence with untextured LIDAR data using line features
Jun Wu
Author Affiliations +
Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74962D (2009) https://doi.org/10.1117/12.833457
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Wu "Automatic geo-registration of aerial image sequence with untextured LIDAR data using line features", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962D (30 October 2009); https://doi.org/10.1117/12.833457
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
LIDAR

Clouds

3D image processing

Feature extraction

Photogrammetry

3D modeling

Image processing

Back to Top