摘要
对大规模地理矢量要素进行实时可视化是当今地理信息科学领域面临的一个严峻挑战。在现有地理矢量要素可视化方法中,随着数据规模的增长,计算规模也急剧扩大,这导致尽管使用了高性能计算技术,仍很难应对大规模地理矢量要素的实时可视化。基于此,文中提出了一种基于显示导向型计算的地理矢量要素可视化技术。该技术从显示角度出发,将每个用于屏幕显示的像素点作为独立的计算单元,根据用户浏览地理矢量要素时屏幕显示的区域及分辨率确定待计算的像素点范围,通过直接计算每个像素点的值来生成最终的显示结果。该技术使得可视化的计算规模仅依赖于屏幕显示的像素数量,具有对数据规模不敏感的优点,可用于支持大规模地理矢量要素的实时可视化。实验结果表明,显示导向型地理矢量可视化技术可用于支持亿级矢量数据的实时可视化绘制。
Rapid visualization of large-scale geographic vector data remains a challenging problem in geographic information scien-ce.In existing visualization methods,the computational scales expand rapidly with data volumes,leading to the result that it is difficult to provide real-time visualization for large-scale geographic vector data,though parallel acceleration technologies are adop-ted.This paper presents a display-oriented data visualization method for large-scale geographic vector data.Different from traditional methods,the core task of the display-oriented method is to determine the pixel range according to the screen display and then calculate the value of each pixel in the range.As the number of pixels for display is stable,the display-oriented data visualization method is less sensitive to data volumes and can be used to provide real-time data visualization for large-scale geographic vector data.Experiments show that our approach is capable of handling 100-million-scale geographic vector data.
作者
马梦宇
吴烨
陈荦
伍江江
李军
景宁
MA Meng-yu;WU Ye;CHEN Luo;WU Jiang-jiang;LI Jun;JING Ning(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China)
出处
《计算机科学》
CSCD
北大核心
2020年第9期117-122,共6页
Computer Science
基金
国家自然科学基金(41471321,41871284)。
关键词
数据可视化
空间大数据
显示导向型计算
并行计算
实时计算
Data visualization
Spatial big data
Display-oriented computing
Parallel computing
Real-time
