The airborne LiDAR system integrates the global positioning system (GPS), inertial navigation system (INS) and Laser Ranging system. Nevertheless, in the process of measuring the system, many errors are inevitably produced, and hence the influence of the observational error caused in the process of measurement must be considered and eliminated, which is called data calibration. The traditional calibration method is stable and reliable, but its disadvantage is that the calibration field flight is requisite, and it has a higher demand for ground objects. In some areas it is difficult to find an appropriate calibration field. In view of such a situation, the authors employed a calibration method of cloud data without calibration field, which is based on Burman model and stripe adjustment theory; through the Placement Angle correction and 3D coordinate correction, it can eliminate the systematic error. Tests in Xiaojiang experimental area of Yunnan Province show that the cloud point data after calibration can completely meet the 1:2 000 DEM mapping precision.
陈洁, 肖春蕾, 李京. 无检校场的机载LiDAR点云数据检校方法[J]. 国土资源遥感, 2015, 27(4): 27-33.
CHEN Jie, XIAO Chunlei, LI Jing. Calibration of airborne LiDAR cloud point data with no calibration field. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 27-33.
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