PANTHER. Pattern ANalytics To support High-performance Exploitation and Reasoning.

doi:10.2172/1228822

GSTDTAP > 地球科学

DOI	10.2172/1228822
报告编号	SAND2015--10645
来源ID	OSTI ID: 1228822
	PANTHER. Pattern ANalytics To support High-performance Exploitation and Reasoning.
	Czuchlewski, Kristina Rodriguez; Hart, William E.
	2015-09-01
出版年	2015
页数	37
语种	英语
国家	美国
领域	地球科学
英文摘要	Sandia has approached the analysis of big datasets with an integrated methodology that uses computer science, image processing, and human factors to exploit critical patterns and relationships in large datasets despite the variety and rapidity of information. The work is part of a three-year LDRD Grand Challenge called PANTHER (Pattern ANalytics To support High-performance Exploitation and Reasoning). To maximize data analysis capability, Sandia pursued scientific advances across three key technical domains: (1) geospatial-temporal feature extraction via image segmentation and classification; (2) geospatial-temporal analysis capabilities tailored to identify and process new signatures more efficiently; and (3) domain- relevant models of human perception and cognition informing the design of analytic systems. Our integrated results include advances in geographical information systems (GIS) in which we discover activity patterns in noisy, spatial-temporal datasets using geospatial-temporal semantic graphs. We employed computational geometry and machine learning to allow us to extract and predict spatial-temporal patterns and outliers from large aircraft and maritime trajectory datasets. We automatically extracted static and ephemeral features from real, noisy synthetic aperture radar imagery for ingestion into a geospatial-temporal semantic graph. We worked with analysts and investigated analytic workflows to (1) determine how experiential knowledge evolves and is deployed in high-demand, high-throughput visual search workflows, and (2) better understand visual search performance and attention. Through PANTHER, Sandia's fundamental rethinking of key aspects of geospatial data analysis permits the extraction of much richer information from large amounts of data. The project results enable analysts to examine mountains of historical and current data that would otherwise go untouched, while also gaining meaningful, measurable, and defensible insights into overlooked relationships and patterns. The capability is directly relevant to the nation's nonproliferation remote-sensing activities and has broad national security applications for military and intelligence- gathering organizations.
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来源平台	US Department of Energy (DOE)
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文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/6992
专题	地球科学
推荐引用方式 GB/T 7714	Czuchlewski, Kristina Rodriguez,Hart, William E.. PANTHER. Pattern ANalytics To support High-performance Exploitation and Reasoning.,2015.