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三种技术策略的直升机LiDAR数据精度分析

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针对直升机机载激光雷达(LiDAR)设备定位定姿系统(POS)的全球卫星导航系统(GNSS)原始数据质量较差的问题,提出一种提高质量较差的机载GNSS原始数据解算后精度的方法:采用多(单)基站融合技术(IFMSB)、融合智能基站技术(IFSB)、后处理实时扩展技术(PP-RTX)3 种策略的解算方法,从航迹位置精度、收敛情况及点云精度等方面进行探讨.实验结果表明:在机载GNSS数据质量较差的情况下,直升机机载激光雷达设备和无人机机载激光雷达设备进行激光扫描作业时,多(单)基站融合技术(IFMSB)方法解算的数据精度较高;并经外业实测点检测,该方法点云数据绝对位置东向中误差 0.16 m,北向中误差 0.05 m,天向中误差 0.06 m,能够满足后期拓展应用对数据精度的要求.
Accuracy analysis of helicopter LiDAR data for three technical strategies
Aiming at the problem of the poor quality of the original global navigation satellite system(GNSS)data of helicopter airborne LiDAR equipment position and orientation system(POS),the paper proposed a method to improve the accuracy after solution of the original airborne GNSS data with poor quality:the solution methods of three technical strategies including in-fusion multi-single-base(IFMSB),in-fusion smartbase(IFSB)and post-processed real-time extended(PP-RTX)were adopted to discuss from the aspects of position accuracy,convergence and point cloud accuracy of the track.Experimental result showed that when helicopter airborne light detection and ranging(LiDAR)equipment and unmanned aerial vehicle airborne LiDAR equipment perform laser scanning operations,the accuracy of the laser scanning data calculated by IFMSB method would be higher when the quality of airborne GNSS data is poor;moreover,after field measurement point detection,the absolute position of point cloud data from IFMSB method would have an east-oriented RSME of 0.16 m,a northern RSME of 0.05 m,and an elevation RSME of 0.06 m,which could meet the requirements of data accuracy for later expansion applications.

in-fusion multi-single-base(IFMSB)in-fusion smartbase(IFSB)post-processed real-time extended(PP-RTX)airborne global navigation satellite system(GNSS)datahelicopter light detection and ranging(LiDAR)dataaccuracy analysis

李致东、胡伟、刘伟东、王宁、马春田、李俊磊、李丹、赵邦博

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国网电力空间技术有限公司,北京 102209

多(单)基站融合技术(IFMSB) 融合智能基站技术(IFSB) 后处理实时扩展技术(PP-RTX) 机载全球卫星导航系统(GNSS)数据 直升机激光雷达(LiDAR)数据 精度分析

2024

导航定位学报

导航定位学报

CSTPCD北大核心
影响因子:0.72
ISSN:
年,卷(期):2024.12(6)