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Proceedings Paper

Autonomous cross-correlation of optical MTI for live inspection and tracking
Author(s): Jason Edelberg; Brian J. Daniel; Michael Wilson; Steve Frawley; Chris Meadows; Troy Johnson; Michael Duncan
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Paper Abstract

The Naval Research Laboratory has developed and demonstrated an autonomous multi-sensor motion-tracking and interrogation system that reduces the workload for analysts by automatically finding moving objects, and then presenting high-resolution images of those objects with little-to-no human input. Intelligence, surveillance and reconnaissance (ISR) assets in the field generate vast amounts of data that can overwhelm human operators and can severely limit an analyst's ability to generate intelligence reports in operationally relevant timeframes. This multiuser tracking capability enables the system to manage the collection of imagery without continuous monitoring by a ground or airborne operator, thus requiring fewer personnel and freeing up operational assets. During flight tests, March 2011, multiple real-time motion-target-indicator (MTI) tracks generated by a wide-area persistent surveillance sensor (WAPSS) were autonomously cross-cued to a high-resolution narrow filed-of-view interrogation sensor via an airborne network. Both sensors were networked by the high-speed Tactical Reachback Extended Communications (TREC) data-link provided by the NRL Information Technology Division.

Paper Details

Date Published: 3 May 2012
PDF: 8 pages
Proc. SPIE 8396, Geospatial InfoFusion II, 839609 (3 May 2012); doi: 10.1117/12.921289
Show Author Affiliations
Jason Edelberg, Naval Research Lab. (United States)
Brian J. Daniel, Naval Research Lab. (United States)
Michael Wilson, Naval Research Lab. (United States)
Steve Frawley, Smart Logic, Inc. (United States)
Chris Meadows, Space Dynamics Lab. (United States)
Troy Johnson, Space Dynamics Lab. (United States)
Michael Duncan, Naval Research Lab. (United States)
Office of Naval Research (United States)


Published in SPIE Proceedings Vol. 8396:
Geospatial InfoFusion II
Matthew F. Pellechia; Richard J. Sorensen; Shiloh L. Dockstader; Kannappan Palaniappan; Xuan Liu, Editor(s)

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