Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data
Abstract
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.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1374438
- Patent Number(s):
- 9727976
- Application Number:
- 15/159,384
- Assignee:
- Sandia Corporation
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2016 May 19
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 58 GEOSCIENCES
Citation Formats
Perkins, David Nikolaus, Brost, Randolph, and Ray, Lawrence P. Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data. United States: N. p., 2017.
Web.
Perkins, David Nikolaus, Brost, Randolph, & Ray, Lawrence P. Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data. United States.
Perkins, David Nikolaus, Brost, Randolph, and Ray, Lawrence P. Tue .
"Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data". United States. https://www.osti.gov/servlets/purl/1374438.
@article{osti_1374438,
title = {Geospatial-temporal semantic graph representations of trajectories from remote sensing and geolocation data},
author = {Perkins, David Nikolaus and Brost, Randolph and Ray, Lawrence P.},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 08 00:00:00 EDT 2017},
month = {Tue Aug 08 00:00:00 EDT 2017}
}
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Works referenced in this record:
Method and system for performing image re-identification
patent, May 2010
- Tu, Peter Henry; Sebastian, Thomas Baby; Rittscher, Jens
- US Patent Document 7,711,146
Method and system for tracking and behavioral monitoring of multiple objects moving through multiple fields-of-view
patent-application, December 2005
- Buehler, Christopher; Brock, Neil; Edulbehram, Jehanbux
- US Patent Application 11/191128; 20050265582
Methods and Systems for Content Processing
patent-application, February 2010
- Conwell, William
- US Patent Application 12/271692; 20100046842
Geospatial multiviewer
patent-application, March 2013
- Hourie, Craig
- US Patent Application 13/232559; 20130063489
T-share: A large-scale dynamic taxi ridesharing service
conference, April 2013
- Ma, Shuo; Zheng, Yu; Wolfson, Ouri
- Data Engineering (ICDE)
A computational framework for ontologically storing and analyzing very large overhead image sets
conference, November 2014
- Brost, Randy C.; McLendon, William C.; Parekh, Ojas
- BigSpatial '14 Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, p. 1-10
Jackpine: A benchmark to evaluate spatial database performance
conference, April 2011
- Ray, Suprio; Simion, Bogdan; Demke Brown, Angela
- Data Engineering (ICDE)
Learning to map between ontologies on the semantic web
conference, January 2002
- Doan, AnHai; Madhavan, Jayant; Domingos, Pedro
- WWW '02 Proceedings of the 11th international conference on World Wide Web, p. 662-673
Aspect coherence for graph-based semantic image labelling
journal, January 2010
- Passino, G.; Patras, I.; Izquierdo, E.
- IET Computer Vision, Vol. 4, Issue 3, p. 183-194