Automatic Handoff of Multiple Targets.

Abstract

In order to fully utilize the potential of the 'fire and forget' class of helicopter-borne missiles, it is necessary to solve the technical problems associated with acquiring and handing off multiple targets from a precision pointing and tracking system (PTS) to several missile seekers simultaneously or almost so in a short period of time. The multiple target problem is that of locating targets and missile seeker aim points within the PTS field of view, deciding which target is to be assigned to each missile, generating error signals to the torquers in order to slew the missile LOS such that its assigned target is in the center of its FOV, and initiating automatic seeker tracking. The task of locating a given smaller image within a larger image is known as 'image registration'. A detailed comparison of the important multiple image registration methods based on the number of arithmetic operations for software implementation and the complexity of hardware for real time implementation is presented. New methods of accomplishing multiple image registration which are computationally more efficient than the most commonly used template matching techniques (correlation and sequential similarity detection algorithm) are described. Conclusions and recommendations are given. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1980
Accession Number
ADA093483

Entities

People

  • H. S. Ranganath
  • J. S. Boland Iii

Organizations

  • Auburn University

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Computations
  • Cross Correlation
  • Detection
  • Detectors
  • Digital Images
  • Electrical Engineering
  • Engineering
  • Feature Extraction
  • Gray Scale
  • Image Registration
  • Multiple Targets
  • Pattern Recognition
  • Recognition
  • Two Dimensional

Readers

  • Image Processing and Computer Vision.
  • Operations Research
  • Sensor Fusion and Tracking Systems.