摘要
在轨迹数据记录过程中,借助EGM2008大地水准面模型,将大地高转换为正常高;在轨迹数据抽稀过程中,提出了一种改进的时空聚类算法,对轨迹数据进行抽稀;在轨迹数据展示过程中,采用带流向箭头和运动图标对轨迹进行展示和回放,从而实现轨迹数据的准确记录和快速展示。
In the process of trajectory data recording,the geodetic height was converted to normal height with the help of the EGM2008 geoid model.In the process of trajectory data thinning,an improved spatiotemporal clustering algorithm was proposed to thin the trajectory data.In the process of trajectory data display,the trajectory is displayed and played back by using flow arrows and motion icons,so as to achieve accurate recording and rapid display of trajectory data.
作者
徐选清
蒲慧龙
姚周祥
XU Xuanqing;PU Huilong;YAO Zhouxiang
出处
《智能城市》
2025年第2期19-22,共4页
Intelligent City
关键词
轨迹数据
高程异常
道格拉斯-普克
时空聚类
trajectory data
height anomaly
Douglas-Peukcer
spatial-temporal clustering
