Estimation-Theoretic Methods for Unconventional Imaging

Abstract

The objective of this program was to perform basic research on the application of estimation-theoretic processing methods for unconventional imaging systems. Imaging applications involving both incoherent (passive) and coherent (active) illumination were investigated, and results are described in this report for i) lower bounds on the estimation accuracy for multi-channel phase retrieval; and ii) dual-channel signal recovery from auto- and cross- correlation data. As a result of i), insight is gained into the relative merits of a Hartmann sensor for wavefront estimation, and the surprising result is obtained that a conventional image encodes more information about a wavefront than does a Hartmann sensor. As a result of ii), a novel processing method is derived for recovering two object functions from measurements of their auto- and cross-correlation functions.

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Document Details

Document Type
Technical Report
Publication Date
Feb 04, 2001
Accession Number
ADA387545

Entities

People

  • Timothy J. Schulz

Organizations

  • Michigan Technological University

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computational Fluid Dynamics
  • Computational Science
  • Cross Correlation
  • Data Science
  • Detectors
  • Dual Channel
  • Equations
  • Mathematical Models
  • Measurement
  • Recovery
  • Synthetic Aperture Radar
  • Wave Propagation
  • Wavefronts

Readers

  • Computer Vision.
  • Statistical inference.
  • Systems Analysis and Design