Analysis of Correlation Filters for OPEL.

Abstract

Correlation filter design and image preprocessing techniques applicable to ladar images from the Optical Processor Enhanced Ladar (OPEL) program (see AERL-MN-EG-TR-l998-7095) were investigated under this grant. Government-furnished mask images were used for most of the study. Range-operator edge enhancement followed by thresholding and dilation were found to be the best preprocessing combination to generate binary correlator input images. Parametric correlation simulation studies explored the variation of correlation performance with filter azimuth coverage. Smart filters were based on the iterated-LA SE formulation. An algorithm for direct processing of range image files to yield binary correlator input images containing both outline and internal detail was developed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA356480

Entities

People

  • David L. Flannery

Organizations

  • University of Dayton

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computations
  • Computer Programs
  • Correlators
  • Distortion
  • Governments
  • Images
  • Military Research
  • Modulation
  • Noise
  • Power Spectra
  • Preprocessing
  • Simulations
  • Statistics
  • Target Discrimination

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.