Optical Tracking Investigations into Image Information and Adaptive Guidance.

Abstract

A two part study into critical aspects of optical tracking systems is presented. The basic question of what comprises information in a textural image is addressed in a study to investigate the application of an erosion process to a binary image. The objective of the erosion is to enhance the image properties that match the properties of the structural element, or mask, used in the erosion process. The resulting image can be used for further processing, but the enhanced properties would now dominate other qualities of features in the image. A statistical study of various textural edges is presented. The use of the variance and mean to indicate textural transitions is investigated on two different types of textural edges. An adaptive guidance technique based on reachable set theory is compared to pursuit and proportional navigation approaches presently employed in missile systems. It is shown that this approach adapts to maneuvering targets far better than the traditional approaches. The computational requirements for the algorithm are evaluated in terms of present digital hardware capability. The results indicate that using current technology, substantial improvements in guidance system performance can be realized.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1983
Accession Number
ADA128622

Entities

People

  • James D. Ledbetter

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Computations
  • Control Systems
  • Coordinate Systems
  • Floating Point Operations
  • Guidance
  • Image Processing
  • Measurement
  • Miss Distance
  • Navigation
  • Optical Tracking
  • Parallel Computing
  • Simulations
  • Standards
  • United States

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Geotechnical Engineering.
  • Robotics and Automation.