地理空间信息2025，Vol.23Issue(2)：90-93,4.DOI:10.3969/j.issn.1672-4623.2025.02.020
基于GNSS轨迹大数据的测绘质量监管关键技术研究
Research on Key Technologies of Surveying and Mapping Quality Supervision Based on GNSS Trajectory Big Data
唐辉 1何宗 1王岚 1袁烽迪 1唐亚洲 1张成宁1
作者信息
- 1. 重庆市地理信息和遥感应用中心,重庆 401147
- 折叠
摘要
Abstract
To enhance the initiative of surveying and mapping quality supervision,we proposed a surveying and mapping quality supervision method based on GNSS trajectory big data.Firstly,we carried out coordinate transformation and information fusion on the projects that had al-ready been supervised and managed to form a"one map"of regulatory status.Then,we classified GNSS trajectory points according to their name attribute and spatial positions using clustering algorithm,and simulated the actual operation area"distribution map"of surveying and map-ping projects.Finally,we overlay analyze the simulated"distribution map"with the current"one map"to obtain the regulatory level of survey-ing and mapping projects in each district and county,discovering weak areas of regulation.This method effectively solves the problem that diffi-cult to obtain the complete information caused by omissions,concealment,and selective reporting those submitted by surveying and mapping units.By simulating the real distribution of surveying and mapping operations and analyzing the proportion of supervised projects,it proactively identifies weak links in supervision and effectively enhances the proactive ability of quality supervision.关键词
GNSS轨迹大数据/测绘质量/聚类算法/主动监管Key words
GNSS trajectory big data/surveying and mapping quality/clustering algorithm/proactive supervision分类
天文与地球科学引用本文复制引用
唐辉,何宗,王岚,袁烽迪,唐亚洲,张成宁..基于GNSS轨迹大数据的测绘质量监管关键技术研究[J].地理空间信息,2025,23(2):90-93,4.
