Method of Determining Probability of Target Detection in a Visually Cluttered Scene

Abstract

A method to determine the probability of detection, P(t), of targets within infrared-imaged, pixelated scenes includes dividing the scenes into target blocks and background blocks. A pluality of deltaT metrics are applied to the blocked scenes to derive various deltaT values for each scene. Factor analysis is then used on the various deltaT values to derive a relative deltaT for each scene. The scenes are divided again, into cells of pixels, in accordance with a plurality of clutter metrics. These clutter metrics are used to derive various clutter values for each scene. Factor analysis is used on the various clutter values to derive relative clutter values for each scene. The relative deltaT values and the relative clutter values are used in determining the probabilities of detection of the targets in the scenes. Based on the probabilities of detection, the optimum scene or set of scenes is selected.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 27, 2000
Accession Number
ADD020336

Entities

People

  • Harpreet Singh
  • Thomas J. Meitzler

Organizations

  • Tank-automotive and Armaments Command

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Detection
  • Factor Analysis
  • Information Operations
  • Mathematics
  • Probability
  • Target Detection
  • United States

Readers

  • Computer Vision.
  • Oceanography.
  • Sensor Fusion and Tracking Systems.