摘要
为满足地质工作者对野外露头表征数据分析的需求,针对现有的软件在三维可视化、跨设备、跨平台性及易操作性等方面的不足。基于WebGL开发了地质三维数字露头可视化平台。首先设计了平台的开发框架及实现路线,以Cesium为框架为基础,通过无人机倾斜摄影进行数据采集,结合U-net算法对地质数据进行分割和分析,实现了数据在跨平台、跨设备上的可视化展示和交互。具体应用中,U-net算法可自动识别和标记地质露头的地层特征和结构,可视化平台则针对识别出的特征提供丰富的测量和标绘工具,更加直观地展示露头信息,有助于地质勘探者更快捷、更全面地理解野外地质条件,提高露头表征数据的分析效率和易用性。仿真分析实例表明,验证了基于U-net算法的分割结果在露头表征和地层分析方面取得了较高的精度和可靠性,该可视化平台将会极大提升野外露头表征的分析效率与易用性,对加快数字中国、智慧地质的建设具有极高的应用价值。
In order to meet the requirements of geological prospectors for outcrop characterization data analysis,the existing software has shortcomings in 3D visualization,cross-device,cross-platform and easy operation.Based on WebGL,a 3D digital outcrop visualization platform was developed.Firstly,the development framework and implementation route of the platform were designed.Based on the visualization rendering of Cesium,data acquisition was carried out by tilt photography of UAV.Combined with the transformation of the world space coordinate system,a cross-platform and cross-device visualization data analysis platform was established.Secondly,through the function functions of front-end JS,the design and implementation of target measurement,marking,publishing and browsing functions.Finally,the effectiveness of developing a 3D digital outcrop visualization platform was verified by an example.The visualization platform will greatly improve the analysis efficiency and usability of outcrop characterization in the field,and has a high application value for accelerating the construction of digital China and intelligent geology.
作者
董志成
陈恭洋
印森林
朱柏宇
DONG Zhi-cheng;CHEN Gong-yang;YIN Sen-lin;ZHU Bai-yu(Institute of Mud Logging Technology and Engineering,Yangtze University,Jingzhou 43400,China)
出处
《科学技术与工程》
北大核心
2024年第11期4633-4642,共10页
Science Technology and Engineering
基金
国家重点研发计划(2021YFC2800901)。
