Spatial Information Content Analysis of Wiener Spectra from Polarized Waterwave Imagery

Abstract

This study proposes to analyze the correlation sensitivity of spatial Wiener spectra derived from polarized (Stokes' parameter) imagery of both synthetic and measured waterwave scenes. The intent of this study is to evaluate the utility of polarized imagery in the extraction of spatial information content (to include texture) from scenes containing waterwaves, one of many spatially correlated natural features that can be described by Wiener spectra. This study will first enhance an existing simulation model to support the comparison of the spatial performance of an imaging system through the creation of synthetic polarized images of waterwave scenes and their spatial spectra. Second, this model will be tailored to a specific imaging system: differentially polarized 4-lens 35-mm photography. Third, a parametric exploration of the model will be used to predict the polarized imaging conditions that optimize spatial information content. Fourth, a polarized 4-lens camera system will collect representative imagery containing waterwave scenes under natural conditions. Finally, the synthetic and measured polarized image spectra will be analyzed and compared in order to validate the simulation model, calibrate the imaging system, and ultimately provide the basis for the utility evaluation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 15, 1994
Accession Number
ADA283171

Entities

People

  • Jan A. North

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Cameras
  • Data Analysis
  • Diffraction
  • Digital Images
  • Geometry
  • Image Processing
  • Measurement
  • Ocean Waves
  • Oceans
  • Optics
  • Photographs
  • Photography
  • Remote Sensing
  • Scattering
  • Synthetic Aperture Radar
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Optical Physics and Photonics.