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Title: A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets.

Abstract

Abstract not provided.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
OSTI Identifier:
1242089
Report Number(s):
SAND2014-19280C
540869
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2014) held November 4-7, 2014 in Dallas, Texas.
Country of Publication:
United States
Language:
English

Citation Formats

Brost, Randolph C., McLendon, William Clarence,, Parekh, Ojas D., Rintoul, Mark Daniel, Strip, David R., and Woodbridge, Diane. A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets.. United States: N. p., 2014. Web. doi:10.1145/2676536.2676537.
Brost, Randolph C., McLendon, William Clarence,, Parekh, Ojas D., Rintoul, Mark Daniel, Strip, David R., & Woodbridge, Diane. A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets.. United States. doi:10.1145/2676536.2676537.
Brost, Randolph C., McLendon, William Clarence,, Parekh, Ojas D., Rintoul, Mark Daniel, Strip, David R., and Woodbridge, Diane. Wed . "A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets.". United States. doi:10.1145/2676536.2676537. https://www.osti.gov/servlets/purl/1242089.
@article{osti_1242089,
title = {A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets.},
author = {Brost, Randolph C. and McLendon, William Clarence, and Parekh, Ojas D. and Rintoul, Mark Daniel and Strip, David R. and Woodbridge, Diane},
abstractNote = {Abstract not provided.},
doi = {10.1145/2676536.2676537},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 01 00:00:00 EDT 2014},
month = {Wed Oct 01 00:00:00 EDT 2014}
}

Conference:
Other availability
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