摘要
在线地图可方便快捷地提供丰富的空间数据服务,不同来源的在线地图数据组织方式不同,在进行集成可视化呈现时存在可视化尺度不一致的问题,因此对多级别多尺度之间的可视化尺度粗匹配技术进行了研究,以适应快速匹配需求。首先,以天地图、百度地图、Google Earth为例,介绍了它们的可视化尺度基本情况;然后,提出了一种以视图范围为匹配依据,以像素距离为匹配标准的匹配方法,并利用该方法得到匹配结果,对匹配结果进行了分析;最后,进行面向对象程序的类设计,提供了一种基于视图中心点位置的多源在线地图可视化尺度匹配方案。通过实例研究发现,3种在线地图可视化尺度大小基本相同,能满足可视化应用需求,验证了匹配方法的有效性。
Online map can provide rich spatial data services conveniently and quickly. The online map data from different sources are organized in different ways. The problem of inconsistent visual scale appears when integrated visualization is presented. To solve this problem, we studied a visual scale rough matching technology between multi-level and multi-scale to adapt to the requirement of rapid matching. Firstly, we introduced the basic visual scale of MapWorld, Baidu Maps and Google Earth. And then, we proposed a matching method taking view range as the matching basis and the pixel distance as the matching criterion, used it to get the matching results, and analyzed the matching results. Finally, based on result, we provided a class design of object-oriented program, which offered a visual scale matching solution of the multi-source online map based on the position of the center point of the view. Through the case study, it is found that the three online maps visual scale are basically the same, which can meet the requirements of visualization application and verify the effectiveness of the matching method.
出处
《地理空间信息》
2020年第11期15-20,I0001,共7页
Geospatial Information
基金
湖南省教育厅科学研究重点资助项目(18A014)。
