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无人机点云数据的危岩体结构信息提取 被引量:12

Application of UAV photogrammetry in investigation of high and steep dangerous rock mass
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摘要 针对在隐患地质灾害体信息采集过程中,大多数危岩体处于高陡边坡顶部,传统测量方式难以直接对其进行测量的难题,该文利用无人机摄影测量技术获取高精度遥感影像,基于点云数据构建三维点云模型和空间实体模型,生成研究区高分辨率栅格影像,提取危岩体空间地理信息,数字化量测危岩体结构面产状。实验表明,获取的高精度栅格影像,弥补了研究区高分辨率遥感影像的匮乏。构建的危岩体三维空间实体模型,模型内、外精度符合岩体结构面信息解译精度要求,可以多角度地观测危岩体地质灾害及其所处环境的真实场景,量测危岩体主要参数,提取危岩体空间地理信息。基于最小二乘法平面拟合算法处理三维点云模型,准确计算出结构面产状,为地质灾害防治部门提供基础数据。 In the process of information collection of hidden geological hazards,most dangerous rock bodies are located on the top of high and steep slopes,and it is difficult to measure them directly by traditional measurement methods.This paper uses UAV photogrammetry technology to obtain high-precision remote sensing images,constructs three-dimensional point cloud model and spatial entity model,generates high-resolution raster images of the study area,and extracts the spatial information of dangerous rock bodies Geological information and digital measurement of the occurrence of dangerous rock mass discontinuity.Experimental results show that obtaining high-precision raster images can make up for the lack of high-resolution remote sensing images in the study area.The 3D solid model of dangerous rock can be used to observe the real scene of geological disasters and its environment,measure the main parameters of dangerous rock,and extract the spatial geographic information of dangerous rock.Based on the least square plane fitting algorithm,the 3D point cloud model is processed to accurately calculate the occurrence of structural plane,which provides basic data for geological disaster prevention and control department.
作者 徐画 陈建平 张权平 王天乐 XU Hua;CHEN Jianping;ZHANG Quanping;WANG Tianle(School of Earth Sciences and Resources,China University of Geosciences(Beijing),Beijing 100083,China;Beijig Key Laboratory of Land and Resources Information Research and Development,Beijing 100083,China;Guangxi Erqing Technician College,Nanning 530200,China)
出处 《测绘科学》 CSCD 北大核心 2021年第7期137-144,共8页 Science of Surveying and Mapping
基金 科技部深地资源勘查开采专项(2017YFC0601502)。
关键词 无人机 点云数据 高陡危岩体 三维空间实体模型 结构面产状 UAV point cloud data high and steep dangerous rock mass 3D solid model structural plane occurrence
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