Pyxis® handheld polarimetric imager

被引:5
作者
Chenault, David B. [1 ]
Pezzaniti, J. Larry [1 ]
Vaden, Justin P. [1 ]
机构
[1] Polaris Sensor Technol Inc, 200 Westside Sq,Suite 320, Huntsville, AL 35801 USA
来源
INFRARED TECHNOLOGY AND APPLICATIONS XLII | 2016年 / 9819卷
关键词
Polarization; imaging polarimetry; infrared polarimetry; Stokes vector; remote sensing;
D O I
10.1117/12.2226031
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The instrumentation for measuring infrared polarization signatures has seen significant advancement over the last decade. Previous work has shown the value of polarimetric imagery for a variety of target detection scenarios including detection of manmade targets in clutter and detection of ground and maritime targets while recent work has shown improvements in contrast for aircraft detection and biometric markers. These data collection activities have generally used laboratory or prototype systems with limitations on the allowable amount of target motion or the sensor platform and usually require an attached computer for data acquisition and processing. Still, performance and sensitivity have been steadily getting better while size, weight, and power requirements have been getting smaller enabling polarimetric imaging for a greater or real world applications. In this paper, we describe Pyxis (R), a microbolometer based imaging polarimeter that produces live polarimetric video of conventional, polarimetric, and fused image products. A polarization microgrid array integrated in the optical system captures all polarization states simultaneously and makes the system immune to motion artifacts of either the sensor or the scene. The system is battery operated, rugged, and weighs about a quarter pound, and can be helmet mounted or handheld. On board processing of polarization and fused image products enable the operator to see polarimetric signatures in real time. Both analog and digital outputs are possible with sensor control available through a tablet interface. A top level description of Pyxis (R) is given followed by performance characteristics and representative data.
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页数:11
相关论文
共 5 条
  • [1] Measured comparison of the crossover periods for mid- and long-wave IR (MWIR and LWIR) polarimetric and conventional thermal imagery
    Felton, M.
    Gurton, K. P.
    Pezzaniti, J. L.
    Chenault, D. B.
    Roth, L. E.
    [J]. OPTICS EXPRESS, 2010, 18 (15): : 15704 - 15713
  • [2] Felton M, 2010, P SPIE, V7672
  • [3] Thermal-to-visible face recognition using partial least squares
    Hu, Shuowen
    Choi, Jonghyun
    Chan, Alex L.
    Schwartz, William Robson
    [J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2015, 32 (03) : 431 - 442
  • [4] Improving cross-modal face recognition using polarimetric imaging
    Short, Nathaniel
    Hu, Shuowen
    Gurram, Prudhvi
    Gurton, Kristan
    Chan, Alex
    [J]. OPTICS LETTERS, 2015, 40 (06) : 882 - 885
  • [5] Review of passive imaging polarimetry for remote sensing applications
    Tyo, J. Scott
    Goldstein, Dennis L.
    Chenault, David B.
    Shaw, Joseph A.
    [J]. APPLIED OPTICS, 2006, 45 (22) : 5453 - 5469