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Proceedings Paper

Investigating clutter reduction for unmanned systems applications using imaging polarimetry
Author(s): Jonathan B. Hanks; Todd M. Aycock; David B. Chenault
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Paper Abstract

The proliferation of unmanned systems in recent years has sparked increased interest in multiple areas of research for on-board image processing including autonomous navigation, surveillance, detection, and tracking to name a few. For these applications, techniques for reducing scene clutter provide an increased level of robustness for autonomous systems and reduced operator burden for tele-operated systems. Because imaging polarimetry frequently provides complementary information to the standard radiometric image, it is anticipated that this technology is well suited to provide a significant reduction in scene clutter. In this paper, the authors investigate the use of imaging polarimetry under a number of representative scenarios to assess the utility of this technology for unmanned system applications.

Paper Details

Date Published: 3 June 2014
PDF: 12 pages
Proc. SPIE 9084, Unmanned Systems Technology XVI, 90840U (3 June 2014); doi: 10.1117/12.2053078
Show Author Affiliations
Jonathan B. Hanks, Polaris Sensor Technologies, Inc. (United States)
Todd M. Aycock, Polaris Sensor Technologies, Inc. (United States)
David B. Chenault, Polaris Sensor Technologies, Inc. (United States)


Published in SPIE Proceedings Vol. 9084:
Unmanned Systems Technology XVI
Robert E. Karlsen; Douglas W. Gage; Charles M. Shoemaker; Grant R. Gerhart, Editor(s)

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