Ship Acquisition on Television: Three Laboratory Experiments.

Abstract

This report consists of a summary of three laboratory experiments on ship acquisition on television, plus information on how to apply the prediction equations that are included. Examples are given, along with limitations on the conditions under which the equations can be used. Some comparisons of the results of these experiments with the results of similar studies are also included. Experimental I was conducted to determine the relative importance of seven factors to ship identification on television. Targets had the strongest effect, followed by subjects, light position, ship wake, ship aspect angle, slant range, and camera depression angle. Ranges at which a ship could be recognized as a merchant ship or combatant under varying light azimuth, light elevation, ship aspect angle, and ship wake size conditions were determined in Experiment II. Multiple regression analysis yielded an equation to estimate recognition ranges. Experiment III was conducted to determine the ranges at which ships can be recognized and their orientation (direction of movement) determined. The factors of primary interest were target-to-background contrast, contrast sign, and ship aspect angle. Multiple regression analyses were performed and four prediction equations are included. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1977
Accession Number
ADA050200

Entities

People

  • Hubert O. Whitehurst

Organizations

  • Naval Air Weapons Station China Lake

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Analysis Of Variance
  • Aspect Angle
  • Cameras
  • Depression Angles
  • Detection
  • Detectors
  • Electronic Equipment
  • Factorial Design
  • Identification
  • Military Research
  • Photographs
  • Recognition
  • Regression Analysis
  • Slant Range
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Naval Architecture and Marine Engineering.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.