Laser Illuminated Imaging: Multiframe Beam Tilt Tracking and Deconvolution Algorithm

Abstract

A laser-illuminated imaging system operating in the presence of atmospheric turbulence will encounter several sources of noise and diffraction induced errors. As the beam propagates, turbulence induced tilt will cause the beam to wander off axis from the target. This is especially troublesome when imaging satellites, since most turbulence is closer to the Earth's surface and greatly affects the beam in the early stages of propagation. Additionally, the returning beam convolved with the target will encounter turbulence induced tilt that appears as apparent movement of the target between image frames. This results in varying beam intensities at the target surface between imaging frames that can affect registration algorithms and tracking. In this research effort, an algorithm using expectation maximization and least squares techniques was developed that has the ability to separately estimate both the tilt of the pulsed laser beam and the apparent movement of the object between incoherent frames and produce a superior image estimate of the target and provide tracking information. The results from this algorithm can be used to reduce the effects of beam wander and increase the SNR of post-processed images.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2013
Accession Number
ADA580745

Entities

People

  • David J. Becker

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Atmospheric Motion
  • Charge Coupled Devices
  • Coordinate Systems
  • Detectors
  • Diffraction
  • Image Registration
  • Laser Beams
  • Laser Radar
  • Lasers
  • Light Sources
  • Probability
  • Pulsed Lasers
  • Random Variables
  • Stochastic Processes
  • Turbulence

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Image Processing and Computer Vision.
  • Radar Systems Engineering.

Technology Areas

  • Directed Energy
  • Space
  • Space - Space Objects