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Title: Representation of activity in images using geospatial temporal graphs

Abstract

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.

Inventors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1438449
Patent Number(s):
9,959,647
Application Number:
14/848,165
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM) SNL
DOE Contract Number:
AC04-94AL85000
Resource Type:
Patent
Resource Relation:
Patent File Date: 2015 Sep 08
Country of Publication:
United States
Language:
English

Citation Formats

Brost, Randolph, McLendon, III, William C., Parekh, Ojas D., Rintoul, Mark Daniel, Watson, Jean-Paul, Strip, David R., and Diegert, Carl. Representation of activity in images using geospatial temporal graphs. United States: N. p., 2018. Web.
Brost, Randolph, McLendon, III, William C., Parekh, Ojas D., Rintoul, Mark Daniel, Watson, Jean-Paul, Strip, David R., & Diegert, Carl. Representation of activity in images using geospatial temporal graphs. United States.
Brost, Randolph, McLendon, III, William C., Parekh, Ojas D., Rintoul, Mark Daniel, Watson, Jean-Paul, Strip, David R., and Diegert, Carl. Tue . "Representation of activity in images using geospatial temporal graphs". United States. doi:. https://www.osti.gov/servlets/purl/1438449.
@article{osti_1438449,
title = {Representation of activity in images using geospatial temporal graphs},
author = {Brost, Randolph and McLendon, III, William C. and Parekh, Ojas D. and Rintoul, Mark Daniel and Watson, Jean-Paul and Strip, David R. and Diegert, Carl},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 01 00:00:00 EDT 2018},
month = {Tue May 01 00:00:00 EDT 2018}
}

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