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Office of Scientific and Technical Information
 

Searches over graphs representing geospatial-temporal remote sensing data

Patent ·
OSTI ID:1425474
;

Various technologies pertaining to identifying objects of interest in remote sensing images by searching over geospatial-temporal graph representations 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. Geospatial-temporal graph searches are made computationally efficient by taking advantage of characteristics of geospatial-temporal data in remote sensing images through the application of various graph search techniques.

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):
9,911,039
Application Number:
14/848,169
OSTI ID:
1425474
Country of Publication:
United States
Language:
English

References (9)

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  • 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
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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