摘要
空间对地观测需求的增长和任务的多样性导致卫星区域覆盖分析变得越来越复杂。当前的遥感卫星区域覆盖算法与应用无法提供实时响应和应对高并发请求的在线服务,并且分析结果不能做到实时可视化,增加了数据的认知难度。针对于此,本文结合流式处理技术,提出一种高效的遥感卫星区域覆盖实时分析方法与可视化服务。首先,采用一种多模式判断策略,实现遥感卫星区域覆盖相关参数的高效计算;然后,对持续流入的数据进行实时分块,实现数据实时处理;最后,结合流式处理技术,提供实时响应和可视化的在线服务。利用多星多地面区域数据进行试验验证,结果表明,本文方法在保证传感器任意指向下遥感卫星区域覆盖参数计算精度的同时,效率得到较大提升,并且能够及时高效地通过数据流的方式,实现分析结果的实时可视化。
The increasing demands and diverse missions in earth observation lead to the complexity of satellite area coverage analysis,and satellite area coverage algorithms or applications cannot provide real-time response and online services that can handle high concurrent requests.Current analysis results cannot be visualized in real time,which increases the difficulty of data cognitive.To solve these problems,this paper proposes an efficient real-time analysis method and visualization service for satellite area coverage,which is combined with flow processing technology.First,a multi-mode judgment strategy is adopted to calculate the satellite area coverage parameters efficiently.Then,the continuous computing tasks are segmented to implement real-time data processing.Finally,based on streaming processing technology,this paper proposes an online service for real-time calculation and visualization.By using the data which contains three satellites and two ground areas to verify the algorithm,the experimental result shows that the method in this paper can not only ensure the accuracy under different sensor orientations,but can also greatly improve the computational efficiency.It can also provide real-time visualization of the analysis results in a timely and efficient manner.
作者
卢万杰
徐青
蓝朝桢
吕亮
周杨
LU Wanjie;XU Qing;LAN Chaozhen;LV Liang;ZHOU Yang(Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China)
出处
《测绘学报》
EI
CSCD
北大核心
2020年第10期1321-1330,共10页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(41701463)。
关键词
区域覆盖
数据流
实时计算
可视化
area coverage
data stream
real-time calculation
visualization
