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Title: Searches over graphs representing geospatial-temporal remote sensing data

Abstract

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.

Inventors:
;
Issue Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1425474
Patent Number(s):
9,911,039
Application Number:
14/848,169
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
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Brost, Randolph, and Perkins, David Nikolaus. Searches over graphs representing geospatial-temporal remote sensing data. United States: N. p., 2018. Web.
Brost, Randolph, & Perkins, David Nikolaus. Searches over graphs representing geospatial-temporal remote sensing data. United States.
Brost, Randolph, and Perkins, David Nikolaus. Tue . "Searches over graphs representing geospatial-temporal remote sensing data". United States. https://www.osti.gov/servlets/purl/1425474.
@article{osti_1425474,
title = {Searches over graphs representing geospatial-temporal remote sensing data},
author = {Brost, Randolph and Perkins, David Nikolaus},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}

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