Investigating clutter reduction for unmanned systems applications using imaging polarimetry

Jonathan B. Hanks; Todd M. Aycock; David B. Chenault

doi:10.1117/12.2053078

3 June 2014 Investigating clutter reduction for unmanned systems applications using imaging polarimetry

Jonathan B. Hanks, Todd M. Aycock, David B. Chenault

Proceedings Volume 9084, Unmanned Systems Technology XVI; 90840U (2014) https://doi.org/10.1117/12.2053078
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Jonathan B. Hanks, Todd M. Aycock, and David B. Chenault "Investigating clutter reduction for unmanned systems applications using imaging polarimetry", Proc. SPIE 9084, Unmanned Systems Technology XVI, 90840U (3 June 2014); https://doi.org/10.1117/12.2053078

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