摘要
结合北斗用户目标的空间分布和属性特点,提出了一种基于关联关系的语义多尺度聚合模型,并对网格聚合算法进行了优化,改进并提出了基于网格目标密度优先顺序聚合和聚合中心的计算方法,在提高聚合效率的同时,改善了聚合显示效果。该方法在某北斗监测系统中得到了应用和试验,结果表明,算法原理简单、运算效率较高,且更贴近于表达北斗用户目标的实际分布特征,为海量空间数据可视化提供了解决方案,具有较高实用价值,基本满足了不同地图比例尺显示场景对用户目标的感知和理解需要。
Combined with the spatial distribution and attribute characteristics of Beidou user objects,a semantic multi-scale aggregation model based on association relationship is proposed,optimizes the traditional grid aggregation algorithm,improves and puts forward the calculation method based on grid object density priority aggregation and aggregation center,which improves the aggregation display effect while ensuring the aggregation efficiency.This method has been applied and tested in a Beidou monitoring system.The results show that the algorithm has simple principle,high operation efficiency,and is closer to expressing the actual distribution characteristics of Beidou user targets.It provides a solution for massive spatial data visualization,has high practical value,and basically meets the needs of perception and understanding of user targets in different display scenes of map scale.
作者
高扬
郭浩
王成宾
吴强
GAO Yang;GUO Hao;WANG Chengbin;WU Qiang
出处
《现代导航》
2022年第3期157-162,169,共7页
Modern Navigation
关键词
北斗用户目标
聚合
解聚
关联关系
网格
Beidou User Objects
Aggregation
Disaggregation
Association Relationship
Grid
