Quantifying Polarized Clutter in the Visible to Near-Infrared

Abstract

Polarization adds another dimension to the spatial intensity and spectral information typically acquired in remote sensing. Polarization imparted by surface reflections contains unique and discriminatory signatures which may augment spectral target-detection techniques. While efforts have been made toward quantifying the polarimetric bidirectional reflectance distribution function (BRDF) responsible for target material polarimetric signatures, little has been done toward developing a description of the polarized background or scene clutter. An approach is presented for measuring the polarimetric BRDF of background materials such as vegetation. The governing equation for polarized radiance reaching a sensor aperture is first developed and serves as a basis for understanding outdoor polarimetric BRDF measurements, as well as polarimetric remote sensing. The polarimetric BRDF measurements are acquired through an imaging technique which enables derivation of the BRDF variability as a function of the ground separation distance (GSD). An image subtraction technique is used to minimize measurement errors resulting from the partially polarized downwelled sky radiance. Quantifying the GSD-dependent BRDF variability is critical for background materials which are typically spatially inhomogeneous. Preliminary results from employing the measurement technique are presented.

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Document Details

Document Type
Technical Report
Publication Date
Feb 24, 2005
Accession Number
ADA430395

Entities

People

  • James R. Shell Ii
  • John R. Schott

Organizations

  • Rochester Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Air Force
  • Atmospheric Scattering
  • Detection
  • Detectors
  • Distribution Functions
  • Equations
  • Focal Planes
  • Light Sources
  • Linear Polarization
  • Materials
  • Measurement
  • Orientation (Direction)
  • Remote Sensing
  • Scattering
  • Target Detection

Fields of Study

  • Physics

Readers

  • Atmospheric Remote Sensing.
  • Image Processing and Computer Vision.