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Strip Adjustment of Airborne Laser Scanner Data Using Area-based Surface Matching
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 Title & Authors
Strip Adjustment of Airborne Laser Scanner Data Using Area-based Surface Matching
Lee, Dae Geon; Yoo, Eun Jin; Yom, Jae-Hong; Lee, Dong-Cheon;
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 Abstract
Multiple strips are required for large area mapping using ALS (Airborne Laser Scanner) system. LiDAR (Light Detection And Ranging) data collected from the ALS system has discrepancies between strips due to systematic errors of on-board laser scanner and GPS/INS, inaccurate processing of the system calibration as well as boresight misalignments. Such discrepancies deteriorate the overall geometric quality of the end products such as DEM (Digital Elevation Model), building models, and digital maps. Therefore, strip adjustment for minimizing discrepancies between overlapping strips is one of the most essential tasks to create seamless point cloud data. This study implemented area-based matching (ABM) to determine conjugate features for computing 3D transformation parameters. ABM is a well-known method and easily implemented for this purpose. It is obvious that the exact same LiDAR points do not exist in the overlapping strips. Therefore, the term "conjugate point" means that the location of occurring maximum similarity within the overlapping strips. Coordinates of the conjugate locations were determined with sub-pixel accuracy. The major drawbacks of the ABM are sensitive to scale change and rotation. However, there is almost no scale change and the rotation angles are quite small between adjacent strips to apply AMB. Experimental results from this study using both simulated and real datasets demonstrate validity of the proposed scheme.
 Keywords
LiDAR Strip Adjustment;Surface Matching;Sub-pixel Accuracy;Accuracy Assessment;
 Language
English
 Cited by
1.
점군집 데이터를 이용한 곡면객체 모델링 및 정확도 분석,이대건;유은진;이동천;

한국측량학회지, 2016. vol.34. 3, pp.243-251 crossref(new window)
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