国土资源遥感Issue(4)：27-33,7.DOI:10.6046/gtzyyg.2015.04.05
无检校场的机载LiDAR点云数据检校方法
Calibration of airborne LiDAR cloud point data with no calibration field
摘要
Abstract
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.关键词
机载LiDAR/系统误差检校/安置角/Burman模型/航带平差Key words
airborne LiDAR/calibration of systematic error/bore sight angle/Burman model/stripe adjustment分类
信息技术与安全科学引用本文复制引用
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,(4):27-33,7.基金项目
“国土资源部航空地球物理与遥感地质重点实验室”航遥青年创新基金(编号:2013YFL10)及中国地质调查局地质大调查项目“云南小江三维地质填图实验区LiDAR航空遥感数据获取”(编号:2002031223173)共同资助。 （编号:2013YFL10）
