Paper
27 September 2013 SWIR active polarization imaging for material identification
Author Affiliations +
Abstract
Nighttime active SWIR imaging has resolution, size, weight, and power consumption advantages over passive MWIR and LWIR imagers for applications involving target identification. We propose that the target discrimination capability of active SWIR systems can be extended further by exerting polarization control over the illumination source and imager, i.e. through active polarization imaging. In this work, we construct a partial Mueller matrix imager and use laboratory derived signatures to uniquely identify target materials in outdoor scenes. This paper includes a description of the camera and laser systems as well as discussion of the reduction and analysis techniques used for material identification.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel A. LeMaster, Adoum H. Mahamat, Bradley M. Ratliff, Andrey S. Alenin, J. Scott Tyo, and Bradley M. Koch "SWIR active polarization imaging for material identification", Proc. SPIE 8873, Polarization Science and Remote Sensing VI, 88730O (27 September 2013); https://doi.org/10.1117/12.2023351
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Imaging systems

Polarization

Polarimetry

Target detection

Short wave infrared radiation

Polysomnography

Detection and tracking algorithms

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