Radar Image Simulation: Validation of the Point Scattering Model. Volume 1

Abstract

The purpose of this report is to present the validation of the Point Scattering Radar Image Simulation Model and its software implementation developed at RSL (Remote Sensing Laboratory, University of Kansas, Lawerence, Kansas). The work was sponsored by ETL (Engineer Topographic Laboratories, U.S. Army, Fort Belvoir, Virginia). Two different instances of model validation are reported. First is validation of both SLAR(Side-Looking Airborne Radar) and PPI (Plan-Position Indicator) radar simulation models by comparison of simulations to real images (of exactly the same ground swath) having the same look direction and other flight parameters. Second is a quantitative validation of a PPI model specialized to making reference scenes for a terminal guidance system using the Correlatron. The results obtained have shown the simulated radar images to be accurate representations of the ground scenes at the microwave frequencies they modeled. The comparisons were shown to be very favorable. Preliminary results of the guidance test have been very satisfactory. Data base construction techniques are also discussed. Alternate input intelligence data sources (high-resolution aerial photographs, maps, ingra-red) for feature extraction are reviewed. A conceptual design for an interactive feature extraction system is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA053253

Entities

People

  • E. E. Komp
  • J. C. Holtzman
  • J. L. Abbott
  • V. H. Kaupp
  • V. S. Frost

Organizations

  • University of Kansas

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Change Detection
  • Computer Programs
  • Data Processing
  • Databases
  • Detection
  • Detectors
  • Feature Extraction
  • Geometry
  • Guidance
  • Image Processing
  • Pattern Recognition
  • Photographs
  • Photography
  • Radar
  • Side Looking Radar

Readers

  • Computational Modeling and Simulation
  • Energy Conservation and Renewable Energy Engineering.
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference