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Modeling passive millimeter wave imaging sensor performance for discriminating small watercraft.

Evelyn J Boettcher1, Keith Krapels, Ron Driggers

  • 1DCS Corporation, 6909 Metro Park Drive, Suite 500, Alexandria, Virginia 22310, USA. evelyn.boettcher@gmail.com

Applied Optics
|July 22, 2010
PubMed
Summary

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Passive millimeter wave (pmmW) imaging systems can now be evaluated using adapted Night Vision thermal imager models. This allows for better prediction of field performance in identifying small watercraft and boats.

Area of Science:

  • Sensor technology
  • Applied physics
  • Military engineering

Background:

  • Passive millimeter wave (pmmW) imagers are emerging as practical sensors for diverse applications.
  • Existing performance models for passive thermal infrared imagers, like NVThermIP, are widely used for sensor evaluation.
  • Adapting these models for pmmW systems is crucial for predicting real-world performance.

Purpose of the Study:

  • To adapt Night Vision passive thermal infrared imager performance models for pmmW imaging systems.
  • To predict the field performance of pmmW systems for small watercraft and boat identification.
  • To derive task difficulty criteria for use in the NVThermIP model.

Main Methods:

  • Collected pmmW signatures for various targets.

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  • Conducted an observer perception experiment.
  • Derived task difficulty criteria for boat identification using NVThermIP.
  • Main Results:

    • Successfully adapted established imager performance models for pmmW applications.
    • Developed specific criteria for evaluating pmmW system performance in boat identification tasks.
    • Demonstrated the applicability of NVThermIP for pmmW sensor analysis.

    Conclusions:

    • The adapted models provide a valuable tool for predicting pmmW system performance in the field.
    • The derived task difficulty criteria enable better design and management of pmmW imaging systems.
    • This research facilitates the development of effective pmmW sensors for maritime surveillance and identification.