Analysis of Pupil Plane Target Characterization Experiments.

Abstract

We investigated approaches for gathering information about a missile at long ranges employing flood-illumination by a laser and pupil-plane arrays of detectors. We catalogued target parameters that could be characterized with these measurements. We showed the ability to estimate the length, width, and orientation of the missile from pupil-plane speckle patterns. We demonstrated shape reconstruction from the autocorrelation function and improvements in those results by using a sidelobe-reduction algorithm. We demonstrated the ability of both a sidelobe-reduction algorithm and a superresolution algorithm to improve the imagery from a coherent sensor, such as a heterodyne array sensor. We analyzed the trade-off between sparsity of array elements and number of speckle realizations. We designed some experiments for determining missile size and dynamics parameters at the Innovative Science and Technology Experimental facility (ISTEF). We developed an approach for preconditioning the autocorrelation estimates in imaging correlography to obtain improved image reconstruction, and demonstrated it on laboratory data.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1998
Accession Number
ADA347536

Entities

People

  • C. C. Aleksoff
  • J. R. Fienup
  • T. J. Schulz

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Atmospheric Motion
  • Data Science
  • Detection
  • Detectors
  • Diffraction
  • Electrical Engineering
  • Frequency
  • Information Science
  • Laser Pulses
  • Light Sources
  • Optical Images
  • Optics
  • Scattering
  • Synthetic Aperture Radar
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.

Technology Areas

  • Directed Energy