面向矿区地表全域沉降监测的多源数据融合方法及应用  

Study on multisource data fusion methods and their application in comprehensive subsidence monitoring of mining area surface

作　　者：杜玉柱[1] 梁涛 DU Yuzhu;LIANG Tao(Shanxi Water Conservancy Vocational and Technical College,Yuncheng 044004,China;China Coal Aerial Survey and Remote Sensing Group Co.,Ltd.,Xi'an 710199,China)

机构地区：[1]山西水利职业技术学院,山西运城044004 [2]中煤航测遥感集团有限公司,陕西西安710199

出　　处：《测绘通报》2024年第11期120-125,共6页Bulletin of Surveying and Mapping

摘　　要：随着无人机、传感器和数据处理技术的发展,轻小型低成本无人机可搭载多种传感器获得种类多样的高精度观测数据。针对矿区开采沉陷的特点,本文设计了融合航空摄影与LiDAR的轻小型无人机矿区地面监测方案,对多期多源数据配准、沉降监测点选取和地表岩移观测线构建等关键技术进行了研究,提出了有效的解决方案,并按照研究成果开展了应用试验。结果表明,采用融合点云和影像的轻小型无人机测量可获取全范围的矿区地面沉陷模型,沉降模型精度优于0.25 m。With the development of unmanned aerial vehicle(UAV),sensor,and data processing technologies,lightweight and low-cost UAVs can carry a variety of sensors to obtain diverse high-precision observation data.In response to the characteristics of mining-induced subsidence,this paper designs a lightweight and small-scale UAV mining area ground monitoring scheme that integrates aerial photography and LiDAR.It studies key technologies such as multi-period and multi-source data registration,selection of subsidence monitoring points,construction of surface rock movement observation lines,and proposes effective solutions.According to the research results,application tests have been carried out,and the results show that the lightweight UAV measurements using fused point clouds and imagery can obtain comprehensive mining area ground subsidence models with a precision better than 0.25 meters.

关 键 词：无人机 航空摄影 激光雷达 开采沉陷 

分 类 号：P237[天文地球—摄影测量与遥感]