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http://dx.doi.org/10.4218/etrij.11.1610.0046

Precise Geometric Registration of Aerial Imagery and LIDAR Data  

Choi, Kyoung-Ah (Department of Geoinformatics, University of Seoul)
Hong, Ju-Seok (Technical Research Center, GSM Solutions)
Lee, Im-Pyeong (Department of Geoinformatics, University of Seoul)
Publication Information
ETRI Journal / v.33, no.4, 2011 , pp. 506-516 More about this Journal
Abstract
In this paper, we develop a registration method to eliminate the geometric inconsistency between the stereo-images and light detection and ranging (LIDAR) data obtained by an airborne multisensor system. This method consists of three steps: registration primitive extraction, correspondence establishment, and exterior orientation parameter (EOP) adjustment. As the primitives, we employ object points and linked edges from the stereo-images and planar patches and intersection edges from the LIDAR data. After extracting these primitives, we establish the correspondence between them, being classified into vertical and horizontal groups. These corresponding pairs are simultaneously incorporated as stochastic constraints into aerial triangulation based on the bundle block adjustment. Finally, the EOPs of the images are adjusted to minimize the inconsistency. The results from the application of our method to real data demonstrate that the inconsistency between both data sets is significantly reduced from the range of 0.5 m to 2 m to less than 0.05 m. Hence, the results show that the proposed method is useful for the data fusion of aerial images and LIDAR data.
Keywords
Registration; correspondence; bundle adjustment; data fusion; image; LIDAR;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 2
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