Modeling Camouflage Screens Using Xpatch,

Abstract

The radar performance of a camouflage screen is dependent upon five parameters; deployment, context, material reflectivity, reflectivity pattern, and surface roughness. A geometric model of draped camouflage screens has been produced which allows arbitrary variation of these three parameters. The model uses a spring connected point mass description of the net. Draping is accomplished via a constrained minimization of the total energy in the structure using a modification of the simulated annealing technique. Constraints include corners staked to a flat ground and support poles. This geometric model was converted to a facet representation and used with the Xpatch electromagnetic prediction code to produce synthetic aperture radar (SAR) images of a screen over a simple target in a statistically homogeneous background. The material in the screen was modeled as a resistive sheet. Arbitrary reflectivity patterns with N resistivities were achieved through the use of an N state Markov process. Roughness was achieved by perturbing the vertices of the facets in the geometric model. Qualitative comparisons of Xpatch SAR imagery and real SAR imagery indicate that all major scattering and attenuation effects of camouflage screens are accounted for by this approach.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA319302

Entities

People

  • E. L. Jacobs

Organizations

  • United States Army Communications-Electronics Command

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Camouflage
  • Computer Graphics
  • Corner Reflectors
  • Field Tests
  • Geometry
  • Laboratory Procedures
  • Laboratory Tests
  • Materials
  • Night Vision
  • Radar Camouflage
  • Reflectivity
  • Roughness
  • Simulations
  • Surface Properties
  • Surface Roughness
  • Synthetic Aperture Radar
  • Transmission Loss

Readers

  • Computer Vision.
  • Human-Computer Interaction (HCI).
  • Radar Systems Engineering.