MEASUREMENTS AND MODELS FOR RELATING THE PHYSICAL CHARACTERISTICS OF IMAGES TO TARGET DETECTION

Abstract

Three metrics for predicting the time required to identify targets in high-resolution radar pictures were developed. One metric, based on four automatically measured variables related to transmissivity of positive transparencies, was tested. Through multiple-regression analysis, a correlation of 0.69 between observed and predicted identification times was obtained. When these relationships were applied to a new set of radar pictures and new test subjects, the correlation coefficient was too low to be significantly different from zero with the number of pictures used. A principal reason for the low correlation was the unexpected correlation between the four transmissivity variables. The metric also had an insignificant correlation coefficient when applied to optical and infrared photographs (0.07 and 0.04, respectively). It is hypothesized that, if additional variables are utilized, the metric examined in this study may be useful as a base to develop a more effective prediction equation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1964
Accession Number
AD0610254

Entities

People

  • Donald G. Corbett
  • N. D. Diamantides
  • R. H. Kause

Organizations

  • Goodyear Aerospace

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force Facilities
  • Boundaries
  • Cameras
  • Control Systems
  • Coordinate Systems
  • Data Science
  • Detection
  • Detectors
  • Information Science
  • Measurement
  • Photographs
  • Photography
  • Probability Density Functions
  • Recognition
  • Regression Analysis
  • Target Recognition
  • Target Signatures

Readers

  • Oceanography.
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.