摘要
为解决边坡表面位移监测的时效性问题,提出一种航摄图像融合三维激光扫描的边坡表面位移监测方法,通过无人机(UAV)航摄图像及三维激光扫描点云数据融合算法,提高边坡表面位移测量精度,实现监测点识别及边坡变形过程中表面位移的及时计算。研究结果表明:通过生成配准的高精度点云非接触式测量边坡位移,能够精确计算当前边坡的变形情况,绝对误差基本控制在±1 cm,与现有采用实时动态(RTK)测量的方式相比耗时缩短约27 min,监测效率得到提高。
In order to improve timeliness of slope surface displacement monitoring,an integrated monitoring method was proposed that combined UAV photography and 3 D laser scanning data to improve monitoring accuracy and achieve timely identification of monitoring points and calculation of displacement during slope deformation.The results show that this method based on high-accuracy point cloud contactless measurement can accurately calculate slope deformation with an absolute error being controlled within1 cm,and its time consumption is about 27 minutes shorter than currently used real time kinematic(RTK),thus improving monitoring efficiency.
作者
何君毅
张社荣
王超
黄星
朱罗方
HE Junyi;ZHANG Sherong;WANG Chao;HUANG Xing;ZHU Luofang(State Key Laboratory of Hydraulic Engineering Simulation and Safety,Tianjin University,Tianjin 300350,China;Sinohydro Bureau 14 Corporation Limited,Kunming Yunnan 650041,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2020年第5期156-162,共7页
China Safety Science Journal
基金
国家重点研发计划项目(2018YFC0406905)
国家自然科学基金创新研究群体科学基金资助(51621092)。
关键词
无人机(UAV)航摄
三维激光扫描
表面位移监测
边坡安全
点云配准
unmanned aerial vehicle(UAV)photography
3D laser scanning
surface displacement measurement
slope safety
point cloud registration
