Translator Disclaimer
Paper
18 August 2005 Water-surface object detection and classification using imaging polarimetry
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 S. Harchanko and David B. Chenault "Water-surface object detection and classification using imaging polarimetry", Proc. SPIE 5888, Polarization Science and Remote Sensing II, 588815 (18 August 2005); https://doi.org/10.1117/12.623542
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Pyxis handheld polarimetric imager
Proceedings of SPIE (May 20 2016)
Real-time polarimetric imager
Proceedings of SPIE (October 11 2005)
Infrared Stokes polarimeter calibration
Proceedings of SPIE (November 15 2000)

Back to Top