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Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data
Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data
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机译:来自遥感和地理位置数据的轨迹的时空语义图表示
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摘要
Various technologies for facilitating analysis of large remote sensing and geolocation datasets to identify features of interest are described herein. A search query can be submitted to a computing system that executes searches over a geospatial temporal semantic (GTS) graph to identify features of interest. The GTS graph comprises nodes corresponding to objects described in the remote sensing and geolocation datasets, and edges that indicate geospatial or temporal relationships between pairs of nodes in the nodes. Trajectory information is encoded in the GTS graph by the inclusion of movable nodes to facilitate searches for features of interest in the datasets relative to moving objects such as vehicles.
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