A Bayesian Derivation of an Iterative Autofocus/Super-Resolution Algorithm.

Abstract

We derive an estimate-maximize (EM) formulation of a Bayesian super-resolution algorithm for reconstructing scattering cross sections from coherent images-this renders obsolete all past attempts to derive such a scheme. We extend the analysis to the case of simultaneous super-resolution and autofocussing, which corrects the damage caused by an uncertain point spread function. Finally, we demonstrate our method by presenting the results of some simple numerical experiments. Keywords: Great Britain; Synthetic aperture radar.(KR)

Document Details

Document Type
Technical Report
Publication Date
Dec 07, 1989
Accession Number
ADA219804

Entities

People

  • S. P. Luttrell

Organizations

  • Royal Signals and Radar Establishment

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Radar
  • Scattering
  • Scattering Cross Sections
  • Synthetic Aperture Radar

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.

Technology Areas

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