北京测绘2025，Vol.39Issue(4)：541-547,7.DOI:10.19580/j.cnki.1007-3000.2025.04.023
基于分布式并行计算的测绘成果质量检查及分析策略
Quality inspection and analysis strategy of surveying and mapping results based on distributed parallel computing
摘要
Abstract
To fully utilize the computing resources in a cluster,enhance overall data processing capabilities,and meet the demand for rapid response,this paper explored a quality inspection and analysis strategy for surveying and mapping results based on distributed parallel computing.The strategy aims to improve the stability and reliability of quality inspection while ensuring data accuracy.Using the distributed parallel computing-based Canopy-Kmeans clustering algorithm,a stratified sampling scheme was designed to extract representative surveying result samples.The quality element scoring method was then employed to calculate the scores of quality elements within these representative samples.Based on these quality element scores,quality inspection and analysis of the surveying results were carried out.Experimental results show that this strategy effectively extracts representative surveying result samples and calculates the scores of quality elements within the samples,completing the quality inspection and analysis of surveying results.关键词
分布式/并行计算/测绘成果/质量检查/分析策略/Canopy-Kmeans聚类算法Key words
distributed/parallel computing/surveying and mapping result/quality inspection/analysis strategy/Canopy-Kmeans clustering algorithm分类
信息技术与安全科学引用本文复制引用
张赟,汪星辰..基于分布式并行计算的测绘成果质量检查及分析策略[J].北京测绘,2025,39(4):541-547,7.基金项目
内蒙古自治区自然科学基金(2023MS04011) （2023MS04011）
