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  • 标题:Visualizing Distributed Dynamic Geospatial Information in Google Earth
  • 本地全文:下载
  • 作者:Jacek Radsikowski ; Xu Lu ; Anthony Stefanidis
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII Part 4
  • 出版社:Copernicus Publications
  • 摘要:The emergence of Google Earth (GE) as an integrative platform for the visualization of geolocated information is presenting thegeospatial community with unique application opportunities and corresponding scientific challenges. In this paper we discuss theextension of GE to function as a four-dimensional (x,y,z,t) virtual spatiotemporal environment through the overlay in it of georectifiedvideo feeds, and feeds from geosensor networks deployed in an area of interest. We have created a Virtual model of ourUniversity Campus, exported it to GE, and use it to visualize diverse feeds from sensors distributed in our campus. In the paper wepresent the architecture of a prototype system that uses GE to visualize such sensor feeds. The system allows us to visualize locationsand temporal stamps for our datasets, thus enabling a user to select feeds of a specific type for a specific location and time (e.g. videoof a building corner at 2:15 an text feeds from a neighboring spot at 2:20). Selected datasets can then be overlaid in GE for visualinspection. In particular we emphasize in particular on issues related to video feeds. We present our approaches to register feedscaptured by surveillance cameras located on top of buildings, and video feeds captured by mobile phone cameras. We also discussthe visualization in GE of information extracted from such video feeds (e.g. trajectories of individuals tracked in video). Thishierarchical navigation through information presents unique opportunities for visual exploration of geospatial datasets. In our paperand presentation we present theoretical problems and demo our prototype
  • 关键词:Visualization; spatiotemporal; Google Earth; Sensor Networks
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