摘要
当前,三维激光扫描测绘数据管理的体量庞大,传统的数据管理和分析方法已经难以满足日益增长的需求。因此,本文提出了一种基于大数据技术的三维激光扫描测绘数据管理方法。首先,通过研究现有的三维激光扫描测绘数据管理技术,总结了其不足之处和需要改进的地方。其次,提出了一种基于大数据技术的三维激光扫描数据管理架构。该架构包括数据采集、数据存储和数据处理3个模块。然后,针对三维激光扫描数据的特点和需求,提出了一种基于大数据技术的三维激光扫描数据分析方法。该方法包括数据预处理、特征提取和数据分析3个步骤。最后,通过实验证明了所提出方法的有效性和可行性。结果表明,该方法能有效地管理和分析三维激光扫描测绘数据,为相关领域的研究和应用提供了有力的支持和参考。
Currently,the huge of data management tor 3D laser scanning surveying and mapping is enormous,traditional data management and analysis methods are no longer able to meet the growing demand.Therefore,this article proposes a data management method for 3D laser scanning surveying based on big data technology.Firstly,by studying the existing 3D laser scanning surveying and mapping data management techniques,the shortcomings and areas for improvement were summarized.Secondly,a 3D laser scanning data management architecture based on big data technology was proposed.This architecture includes three modules:data collection,data storage,and data processing.Then,based on the characteristics and requirements of 3D laser scanning data,a 3D laser scanning data analysis method based on big data technology was proposed.This method includes three steps:data preprocessing,feature extraction,and data analysis.Finally,the effectiveness and feasibility of the proposed method were demonstrated through experiments.The results indicate that this method can effectively manage and analyze 3D laser scanning surveying data,providing strong support and reference for research and application in related fields.
作者
王子豪
朱路路
王光飞
WANG Zihao;ZHU Lulu;WANG Guangfei(Shandong Haihui Survey and Mapping Co.,Ltd.,Jinan 250000,China;Dongying Survey and Mapping Institute Co.,Ltd.,Dongying,Shandong 257091,China;Shandong Hengyuan Geographic Information Technology Co.,Ltd.,Jinan 250000,China)
出处
《移动信息》
2024年第5期312-314,共3页
MOBILE INFORMATION
关键词
大数据技术
三维激光
扫描测绘
数据管理
Big data technology
3D laser
Scanning surveying and mapping
Data management
作者简介
王子豪(1988-),本科,工程师,研究方向为无人机航空摄影测量、机载车载雷达数据处理与应用、海底管线探测、工程测量;朱路路(1995-),本科,助理工程师,研究方向为工程测量;王光飞(1989-),本科,工程师,研究方向为国土空间规划、土地利用监测、土地整治技术研究、航空影像处理与利用。