Randolph C. Brost
Sandia National Laboratories
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Featured researches published by Randolph C. Brost.
international workshop on analytics for big geospatial data | 2014
Randolph C. Brost; William Clarence McLendon; Ojas Parekh; Mark Daniel Rintoul; David R. Strip; Diane Woodbridge
We describe a computational approach to remote sensing image analysis that addresses many of the classic problems associated with storage, search, and query. This process starts by automatically annotating the fundamental objects in the image data set that will be used as a basis for an ontology, including both the objects (such as building, road, water, etc.) and their spatial and temporal relationships (is within 100 m of, is surrounded by, has changed in the past year, etc.). Data sets that can include multiple time slices of the same area are then processed using automated tools that reduce the images to the objects and relationships defined in an ontology based on the primitive objects, and this representation is stored in a geospatial-temporal semantic graph. Image searches are then defined in terms of the ontology (e.g. find a building greater than 103 m2 that borders a body of water), and the graph is searched for such relationships. This approach also enables the incorporation of non-image data that is related to the ontology. We demonstrate through an initial implementation of the entire system on large data sets (109 -- 1011 pixels) that this system is robust against variations in different image collection parameters, provides a way for analysts to query data sets in a more natural way, and can greatly reduce the memory footprint of the search.
Archive | 2015
David J. Stracuzzi; Randolph C. Brost; Maximillian Gene Chen; Rebecca Malinas; Matthew Gregor Peterson; Cynthia A. Phillips; David G. Robinson; Diane Woodbridge
This report summarizes preliminary research into uncertainty quantification for pattern ana- lytics within the context of the Pattern Analytics to Support High-Performance Exploitation and Reasoning (PANTHER) project. The primary focus of PANTHER was to make large quantities of remote sensing data searchable by analysts. The work described in this re- port adds nuance to both the initial data preparation steps and the search process. Search queries are transformed from does the specified pattern exist in the data? to how certain is the system that the returned results match the query? We show example results for both data processing and search, and discuss a number of possible improvements for each.
Archive | 2003
Randolph C. Brost; David R. Strip
Archive | 2013
Randolph C. Brost; William Clarence McLendon
Archive | 2015
Randolph C. Brost; Michelle Carroll; William Clarence McLendon; Ojas Parekh; David R. Strip; Mark Daniel Rintoul; Diane Woodbridge
Archive | 2014
Randolph C. Brost; Cynthia A. Phillips; David G. Robinson; David J. Stracuzzi; Diane Woodbridge; Mark S. Kaiser; Daniel J. Nordman; Alyson G. Wilson
Archive | 2000
Randolph C. Brost; David R. Strip; Randall H. Wilson
Archive | 2018
Randolph C. Brost; David Nikolaus Perkins
Archive | 2018
Randolph C. Brost; Charles Q. Little; Natacha Peter-Stein; James Rokwel Wade
Archive | 2018
Randolph C. Brost; Charles Q. Little; Michael McDaniel; William Clarence McLendon; James Rokwel Wade