Paper
19 May 2005 Detecting a surface swimmer using long wave infrared imaging polarimetry (Invited Paper)
Author Affiliations +
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Harchanko, David Chenault, Craig Farlow, and Kevin Spradley "Detecting a surface swimmer using long wave infrared imaging polarimetry (Invited Paper)", Proc. SPIE 5780, Photonics for Port and Harbor Security, (19 May 2005); https://doi.org/10.1117/12.603874
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Polarimetry

Polarization

Infrared imaging

Signal to noise ratio

Cameras

Calibration

Reflection

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