Water-surface object detection and classification using imaging polarimetry

John S. Harchanko; David B. Chenault

doi:10.1117/12.623542

18 August 2005 Water-surface object detection and classification using imaging polarimetry

Proceedings Volume 5888, Polarization Science and Remote Sensing II; 588815 (2005) https://doi.org/10.1117/12.623542
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

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.

Citation Download Citation

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

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