Detection of Multiple-Vehicle Targets in Realistic Terrain.

Abstract

The interactive effects of target and background characteristics upon visual target acquisition were investigated. Five multiple-target conditions that varied in number and configuration (single tank, group of 3 tanks, convoy of 3 tanks, group of 9 tanks, and convoy of 9 tanks) were embedded into oblique aerial photographs of real terrain. Proximity of the targets to major roads in each scene was manipulated to assess the effects of local context on detection performance. Terrain complexity was evaluated by a subjective scale of scene heterogeneity. Results from a visual search experiment indicated that performance improved as the number of tanks comprising a target increased. An interaction between number of targets and proximity to roads suggested that local context is a relatively more important performance predictor when searching for single tanks than when searching for multiple targets. The heterogeneity measure was found to be an inadequate predictor of detection performance. An approach for the development and implementation of valid predictors of detection performance was suggested. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA061745

Entities

People

  • Lynn A. Olzak

Organizations

  • Hughes Aircraft Company

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Algorithms
  • Analysis Of Variance
  • Biomedical Research
  • Cameras
  • Detection
  • Display Systems
  • Engineering
  • Human Factors Engineering
  • Photographs
  • Psychology
  • Target Acquisition
  • Target Detection
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Marksmanship and Weaponry.
  • Sensor Fusion and Tracking Systems.