Automatic geo-referencing mobile laser scanning data to UAV images

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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.

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APA

Gao, Y., Huang, X., Zhang, F., Fu, Z., & Yang, C. (2015). Automatic geo-referencing mobile laser scanning data to UAV images. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 40, pp. 41–46). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprsarchives-XL-1-W4-41-2015

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