ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 73-80, 2015
https://doi.org/10.5194/isprsannals-II-3-W5-73-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
19 Aug 2015
RIGOROUS STRIP ADJUSTMENT OF AIRBORNE LASERSCANNING DATA BASED ON THE ICP ALGORITHM
P. Glira, N. Pfeifer, C. Briese, and C. Ressl Vienna University of Technology, Department of Geodesy and Geoinformation, Research Group Photogrammetry, Vienna, Austria
Keywords: Orientation, calibration, Georeferencing, Iterative Closest Point algorithm Abstract. Airborne Laser Scanning (ALS) is an efficient method for the acquisition of dense and accurate point clouds over extended areas. To ensure a gapless coverage of the area, point clouds are collected strip wise with a considerable overlap. The redundant information contained in these overlap areas can be used, together with ground-truth data, to re-calibrate the ALS system and to compensate for systematic measurement errors. This process, usually denoted as strip adjustment, leads to an improved georeferencing of the ALS strips, or in other words, to a higher data quality of the acquired point clouds. We present a fully automatic strip adjustment method that (a) uses the original scanner and trajectory measurements, (b) performs an on-the-job calibration of the entire ALS multisensor system, and (c) corrects the trajectory errors individually for each strip. Like in the Iterative Closest Point (ICP) algorithm, correspondences are established iteratively and directly between points of overlapping ALS strips (avoiding a time-consuming segmentation and/or interpolation of the point clouds). The suitability of the method for large amounts of data is demonstrated on the basis of an ALS block consisting of 103 strips.
Conference paper (PDF, 6434 KB)


Citation: Glira, P., Pfeifer, N., Briese, C., and Ressl, C.: RIGOROUS STRIP ADJUSTMENT OF AIRBORNE LASERSCANNING DATA BASED ON THE ICP ALGORITHM, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 73-80, https://doi.org/10.5194/isprsannals-II-3-W5-73-2015, 2015.

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