Comparison of the Inversion Periods for Polarimetric and Conventional Long-wave IR (LWIR) Imagery

Abstract

We report the results of a multi-day diurnal study in which radiometrically calibrated polarimetric and conventional thermal imagery is recorded in the long-wave IR (LWIR) to identify/compare the respective time periods in which minimum target contrast is achieved, e.g., thermal inversion periods are typically experienced during dusk and dawn. Imagery is recorded with a polarimetric IR sensor employing a 324x256 microbolometer array using a spinning achromatic retarder to perform the polarimetric filtering. The images used in this study include the S0, normalized S1, and normalized S2 Stokes images and the degree of linear polarization (DOLP) images of a scene containing military vehicles and the natural background. In addition, relevant meteorological parameters measured during the test period include air temperature, ambient loading in the LWIR, relative humidity, and cloud cover, height and density. The data shows that the chief factors affecting polarimetric contrast are the amount of thermal emission from the objects in the scene and the abundance of LWIR sources in the optical background. In addition, we found that contrast between targets and background within polarimetric images often remains relatively high during periods of low thermal contrast.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2009
Accession Number
AD1090486

Entities

People

  • D. B. Chenault
  • J. L. Pezzaniti
  • K. P. Gurton
  • L. E. Roth
  • M. Felton

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Temperature
  • Cloud Cover
  • Clouds
  • Contrast
  • Detection
  • Detectors
  • Emission
  • Humidity
  • Information Science
  • Infrared Detectors
  • Inversion
  • Linear Polarization
  • Military Vehicles
  • Optical Detectors
  • Polarization
  • Radiation
  • Vehicles

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Thermal Physics or Thermal Science.