Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 41-46, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W4-41-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
26 Aug 2015
AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES
Y. Gao, X. Huang, F. Zhang, Z. Fu, and C. Yang LIESMARS, Wuhan University, China
Keywords: Mobile Laser Scanning; UAV images; Geo-reference; Pairwise Registration; Adjustment; Trajectory Abstract. In this paper, a framework for adjusting mobile laser scanning point cloud data to improve the accuracy is proposed by integrating high resolution UAV images and MLS. First, aerial triangulated images with a few high accuracy ground control points are taken as control information. Then, a hierarchical strategy is proposed for robust pairwise registration of feature points between point cloud and images, so as to find the deviation of the point cloud. In the next step, a shape-preserving piecewise cubic interpolating method is employed to fit the time dependent error model of the trajectory. Finally, experiments are given to prove the effectiveness of proposed framework.
Conference paper (PDF, 1327 KB)


Citation: Gao, Y., Huang, X., Zhang, F., Fu, Z., and Yang, C.: AUTOMATIC GEO-REFERENCING MOBILE LASER SCANNING DATA TO UAV IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 41-46, https://doi.org/10.5194/isprsarchives-XL-1-W4-41-2015, 2015.

BibTeX EndNote Reference Manager XML