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Representation of activity in images using geospatial temporal graphs

Patent ·
OSTI ID:1438449
Various technologies pertaining to modeling patterns of activity observed in remote sensing images using geospatial-temporal graphs are described herein. Graphs are constructed by representing objects in remote sensing images as nodes, and connecting nodes with undirected edges representing either distance or adjacency relationships between objects and directed edges representing changes in time. Activity patterns may be discerned from the graphs by coding nodes representing persistent objects like buildings differently from nodes representing ephemeral objects like vehicles, and examining the geospatial-temporal relationships of ephemeral nodes within the graph.
Research Organization:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC04-94AL85000
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
Patent Number(s):
9,959,647
Application Number:
14/848,165
OSTI ID:
1438449
Country of Publication:
United States
Language:
English

References (9)

Encoding and analyzing aerial imagery using geospatial semantic graphs report February 2014
Aspect coherence for graph-based semantic image labelling journal January 2010
Jackpine: A benchmark to evaluate spatial database performance conference April 2011
A computational framework for ontologically storing and analyzing very large overhead image sets
  • 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 https://doi.org/10.1145/2676536.2676537
conference November 2014
Learning to map between ontologies on the semantic web conference January 2002
Geometric Hitting Set for Segments of Few Orientations book January 2015
Classification and feature extraction for remote sensing images from urban areas based on morphological transformations journal September 2003
Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs
  • Stracuzzi, David J.; Brost, Randy C.; Phillips, Cynthia A.
  • Statistical Analysis and Data Mining: The ASA Data Science Journal, Vol. 8, Issue 5-6, p. 340-352 https://doi.org/10.1002/sam.11294
journal September 2015
Trajectory parsing by cluster sampling in spatio-temporal graph conference June 2009

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