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Proceedings Paper

Big data for space situation awareness
Author(s): Erik Blasch; Mark Pugh; Carolyn Sheaff; Joe Raquepas; Peter Rocci
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Paper Abstract

Recent advances in big data (BD) have focused research on the volume, velocity, veracity, and variety of data. These developments enable new opportunities in information management, visualization, machine learning, and information fusion that have potential implications for space situational awareness (SSA). In this paper, we explore some of these BD trends as applicable for SSA towards enhancing the space operating picture. The BD developments could increase in measures of performance and measures of effectiveness for future management of the space environment. The global SSA influences include resident space object (RSO) tracking and characterization, cyber protection, remote sensing, and information management. The local satellite awareness can benefit from space weather, health monitoring, and spectrum management for situation space understanding. One area in big data of importance to SSA is value - getting the correct data/information at the right time, which corresponds to SSA visualization for the operator. A SSA big data example is presented supporting disaster relief for space situation awareness, assessment, and understanding.

Paper Details

Date Published: 5 May 2017
PDF: 12 pages
Proc. SPIE 10196, Sensors and Systems for Space Applications X, 1019607 (5 May 2017); doi: 10.1117/12.2264684
Show Author Affiliations
Erik Blasch, Air Force Research Lab. (United States)
Mark Pugh, Air Force Research Lab. (United States)
Carolyn Sheaff, Air Force Research Lab. (United States)
Joe Raquepas, Air Force Research Lab. (United States)
Peter Rocci, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 10196:
Sensors and Systems for Space Applications X
Khanh D. Pham; Genshe Chen, Editor(s)

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