STATISTICAL DETECTION THEORY OF THRESHOLD VISUAL PERFORMANCE

Abstract

The document presents the development of a statistical detection model to provide an accurate, quantitative description of threshold visual performance over a wide range of background luminance and target parameters. The work investigates relationships that exist between visual performance and reconnaissance. A statistical theory is developed in which neural excitation noise results from random fluctuations in both target and background luminance, and decision criterion is assumed to be programmed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1969
Accession Number
AD0696114

Entities

People

  • H. A. Ory

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Data Science
  • Decision Theory
  • Detection
  • Electro-Optical Sensors
  • Excitation
  • Experimental Data
  • Experimental Design
  • Information Science
  • Neurophysiology
  • Observation
  • Observers
  • Probability
  • Quantum Efficiency
  • Square Roots
  • Statistical Decision Theory

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Vision Science/Vision Psychology/Cognitive Neuroscience.