標題: Surface-Based Registration of Airborne and Terrestrial Mobile LiDAR Point Clouds
作者: Teo, Tee-Ann
Huang, Shih-Han
土木工程學系
Department of Civil Engineering
關鍵字: LiDAR;point clouds;least squares surface matching;registration
公開日期: 1-十二月-2014
摘要: Light Detection and Ranging (LiDAR) is an active sensor that can effectively acquire a large number of three-dimensional (3-D) points. LiDAR systems can be equipped on different platforms for different applications, but to integrate the data, point cloud registration is needed to improve geometric consistency. The registration of airborne and terrestrial mobile LiDAR is a challenging task because the point densities and scanning directions differ. We proposed a scheme for the registration of airborne and terrestrial mobile LiDAR using the least squares 3-D surface registration technique to minimize the surfaces between two datasets. To analyze the effect of point density in registration, the simulation data simulated different conditions and estimated the theoretical errors. The test data were the point clouds of the airborne LiDAR system (ALS) and the mobile LiDAR system (MLS), which were acquired by Optech ALTM 3070 and Lynx, respectively. The resulting simulation analysis indicated that the accuracy of registration improved as the density increased. For the test dataset, the registration error of mobile LiDAR between different trajectories improved from 40 cm to 4 cm, and the registration error between ALS and MLS improved from 84 cm to 4 cm. These results indicate that the proposed methods can obtain 5 cm accuracy between ALS and MLS.
URI: http://dx.doi.org/10.3390/rs61212686
http://hdl.handle.net/11536/124098
ISSN: 2072-4292
DOI: 10.3390/rs61212686
期刊: REMOTE SENSING
Issue: 12
起始頁: 12686
結束頁: 12707
顯示於類別:期刊論文


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  1. 000346795300047.pdf