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Proceedings Paper

Water-surface object detection and classification using imaging polarimetry
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Paper Abstract

Data from a recent "first-look" at using Long Wave InfraRed Imaging Polarimetry (LWIR-IP) to detect surface swimmers is presented and discussed. A significant increase in detection SNR over conventional IR imaging techniques was discovered. The physical phenomena that produces the increased SNR is discussed along with data that shows range effects and their degradation on the SNR. Most significantly, a method to classify the detected object using the same dataset is discussed. Augmenting current swimmer detection systems using this technique will likely significantly decrease the false alarm rates of the system, thus saving manpower resources and preserving force readiness.

Paper Details

Date Published: 18 August 2005
PDF: 7 pages
Proc. SPIE 5888, Polarization Science and Remote Sensing II, 588815 (18 August 2005); doi: 10.1117/12.623542
Show Author Affiliations
John S. Harchanko, Polaris Sensor Technologies (United States)
David B. Chenault, Polaris Sensor Technologies (United States)


Published in SPIE Proceedings Vol. 5888:
Polarization Science and Remote Sensing II
Joseph A. Shaw; J. Scott Tyo, Editor(s)

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