Polarization Effects on Infrared Target Contrast

Abstract

An analysis has been carried out of a data base of polarized long wave infrared images of the instrumented Research Vessel POINT SUR recorded over a period of two days during the EOPACE measurements series in San Diego Bay in 1996. The measurements were made from a land site on Point Loma with an AGA780 sensor with internally mounted polarization filters. The objectives of the analysis were to determine a possible influence of target aspect angle on the polarization signature, to compare polarization contrast improvement in San Diego Bay with previous measurements in the North Atlantic, and to validate by measurement the estimation of unpolarized signature from vertical and horizontal components. 5508 images representing 70 cases with vertical, horizontal and unpolarized sequences were analyzed. Using a horizontal polarizer, target to background contrast improvement was found with a mean of 1.08 (8%) compared with the 15% found in previous measurements. Estimated unpolarized signatures from vertical and horizontal components agreed with unpolarized measurements with a slope coefficient of .85 to .99. Target signature for major ship facets and for total ship showed no discernable degree of polarization. A total of 37 IDL programs developed for this analysis can be assembled as a package for future data processing.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA353099

Entities

People

  • Marcos C. Pontes

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Aspect Angle
  • Data Acquisition
  • Databases
  • Detection
  • Detectors
  • Electric Fields
  • Electromagnetic Radiation
  • Grids
  • Infrared Radiation
  • Long-Wavelength Infrared Radiation
  • Measurement
  • Optical Phenomena
  • Optics
  • Polarizers
  • Radiation
  • Refractive Index
  • San Diego Bay

Readers

  • Atmospheric Remote Sensing.
  • Radar Systems Engineering.