Modeling Second Generation FLIR Sensor Detection Recognition and Identification Range with Polarization Filtering

Abstract

The influence of polarization filtering on maximum detection, recognition, and identification ranges of a generic second generation FLIR sensor is examined with a computational model. The scenario studied represents a second generation FLIR sensor mounted on an aircraft in level flight at 3OOm approaching a ship target. The target ship radiant signature is modeled with an advanced infrared signature prediction program, MuSES (Multi-Service Electro-Optic Signature) . A weather file representative of Midlatitude Summer at sea conditions was utilized. Polarized sea background and path radiance calculations are performed with a polarized version of the SEARAD Radiance and Propagation Code. Results showed that there is an improvement in maximum range of the sensor for detection, recognition, and identification tasks when a horizontal filter is included, provided that the target does not have a negative degree of polarization. For detection task the improvements were found to be 33.48%, 35.65%, and 39.78% when the target has 0%, +2%, and +8% degree of polarization respectively. A better modeling of Apparent Temperature Difference (ATD) calculation is also developed. To improve the model use of polarized target model is recommended.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2000
Accession Number
ADA386345

Entities

People

  • Mehmet Yildirim

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Advanced Electronics
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Atmospheric Attenuation
  • Detection
  • Detectors
  • Electromagnetic Metamaterials
  • Electromagnetic Radiation
  • Electromagnetic Scattering
  • Electromagnetic Spectra
  • Infrared Radiation
  • Infrared Signatures
  • Long-Wavelength Infrared Radiation
  • Metamaterial Absorbers
  • Optical Properties
  • Optics
  • Quantum Yields
  • Refractive Index
  • Two Dimensional

Readers

  • Atmospheric Remote Sensing.
  • Computer Vision.