Performance Synthesis (Electro-Optical Sensors)

Abstract

Analytical models are developed for evaluating and predicting the performance of observers augmented by electro-optical sensors when viewing images of comparatively simple geometry. These models provide a method of associating a signal-to-noise ratio with an image as a function of the image radiance and spatial dimension. Through psychophysical experimentation, the probability of the observer's detecting certain images was established using images of known signal-to-noise ratio. By matching the sensor capability with the observer requirements, overall sensor system performance is predicted. The models are perfectly general and apply to all electro-optical sensors. Their use is illustrated by applying them to the prediction of a number of representative sensors; including image dissectors, forward-looking infrared scanners, direct view light amplifiers, and low-light-level television. Methods of predicting the range capability of sensor-augmented observers are developed and applied to both active and passive systems. These models take into account properties of the scene, atmospherics, and level of target discrimination.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1971
Accession Number
AD0884829

Entities

People

  • Frederick A. Rosell
  • Robert H. Willson

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors

DTIC Thesaurus Topics

  • Camera Tubes
  • Cameras
  • Cathode Ray Tubes
  • Detection
  • Detectors
  • Equations
  • Geometry
  • Light Amplifiers
  • Metal Oxides
  • Optical Detectors
  • Optics
  • Statistical Analysis
  • Target Recognition
  • Test And Evaluation
  • Two Dimensional
  • Visible Spectra
  • Waveforms

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.