Benchmarking and Validation of IR Signature Programs: SensorVision, CAMEO-SIM and RadThermIR

Abstract

Computer programs for prediction of optical signatures of targets in background are valuable tools for several applications such as study of new platform concepts, new coatings, and assessments of new sensor technology and development of tactics. This paper covers a validation activity of three commercial optical signature prediction programs available at FOI: SensorVision, CAMEO-SIM and RadThermIR. As targets two flat panels with different emissivity in thermal IR was used, one close to unity and the other approximately 0.5. The panel signature was measured for a complete 24-hour period and radiance data for the panels were collected as well as supporting data consisting of weather data and contact temperature data. All three simulation programs were used to predict the radiance and the physical surface temperature of the panels. The simulation results were compared with the measurement results and they show considerable agreement. Some deviations were observed and they are discussed in the paper. The largest deviations between measurements and modelling results are most likely related to weather parameters, such as wind speed, wind direction, cloudiness, etc. Generally, the low emissive panel was harder to predict than the paint panel, and MWIR was harder to predict compared to LWIR. The work gave valuable experience of the use of the programs.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2005
Accession Number
ADA457113

Entities

People

  • Claes Nelsson
  • Patrik Hermansson
  • Stefan Sjoekvist
  • Thomas Winzell

Organizations

  • Swedish Defence Research Agency

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Temperature
  • Camouflage
  • Deception
  • Detectors
  • Emissivity
  • Heat Transfer
  • Heat Transfer Coefficients
  • Materials
  • Measurement
  • Optical Signatures
  • Radiance
  • Radiation
  • Simulations
  • Surface Temperature
  • Three Dimensional
  • Weather Stations
  • Wind

Readers

  • Atmospheric Remote Sensing.
  • Computational Fluid Dynamics (CFD)
  • Sensor Fusion and Tracking Systems.