Image Correlation: Part 1. Simulation and Analysis

Abstract

This report investigates image correlation for map matching in target acquisition and tracking both theoretically and by using computer simulations. The emphasis is on the acquisition phase, particularly (1) the probability of achieving a correct match, (2) selection of an appropriate comparison metric to maximize this probability. Study conclusions: Using methods outlined in this report, an approximate lower bound on the value of the probability of a correct match can be calculated. Several quantitative relationships between this probability and various system parameters have been derived and largely confirmed by simulation testing. The second conclusion is that there ought to be better algorithms than those used in the past. It is reasonable and consistent with theory to search for more efficient ways to carry out the initial map- matching or target-acquisition function. Preprocessing to extract special features using techniques of pattern recognition appear promising for the generation of more efficient algorithms. Future research in this area is outlined.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1976
Accession Number
ADA036665

Entities

People

  • C. L. Lowery
  • F. W. Blackwell
  • H. H. Bailey
  • J. A. Ratkovic

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Algorithms
  • Change Detection
  • Computational Science
  • Computer Programming
  • Computer Simulations
  • Data Processing
  • Databases
  • Detectors
  • Guidance
  • Information Science
  • Jet Propulsion
  • Pattern Recognition
  • Probability
  • Target Acquisition
  • Terminal Guidance

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms