A Theoretical Perspective on Aided Target Recognition Research

Abstract

This survey closely examines the mathematical methods in use for the ill-posed problems invariably confronted at the beginning stage of the automatic/aided target recognition problem, where features relevant to the ultimate recognition goal must be extracted from images of various kinds. These methods include maximum a posteriori estimation, regularization theoretic approaches, multiple deconvolution techniques, and the simulated-annealing method called stochastic relaxation and annealing. Also examined are some of the methodological and philosophical issues relevant to the image recognition task. A relatively detailed theoretical perspective on the overall problem area is conveyed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1991
Accession Number
ADA238868

Entities

People

  • Dennis Mcguire

Organizations

  • Harry Diamond Laboratories

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Vision
  • Detectors
  • Equations Of State
  • Identification
  • Image Processing
  • Image Recognition
  • Information Processing
  • Information Science
  • Optical Images
  • Random Variables
  • Recognition
  • Statistical Algorithms
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

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