Performance of Hybrid Adaptive Optics Systems

Abstract

Advances in Adaptive Optics (AO) systems and image processing techniques have allowed image reconstruction to reach new levels of sophistication with impressive improvements in resolvability. The products of these reconstruction methods are often compared by eye due to a lack of widely agreed-upon objective performance metrics. This presentation describes imagery of satellites taken with and without an AO system and with image post-processing. The AO system in question allows for rapid switching between compensated and uncompensated imagery, so an objective comparison between the two is possible. We define and implement a new metric that allows for evaluations of image reconstruction algorithm performance and AO performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2013
Accession Number
ADA591393

Entities

People

  • Brandoch Calef
  • Daniel Thompson
  • Michael Werth
  • Skip Williams
  • Stacie Williams

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Adaptive Optics
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Satellites
  • High Resolution
  • Horizontal Orientation
  • Image Processing
  • Image Reconstruction
  • Optics
  • Orientation (Direction)
  • Space Objects
  • Space Surveillance
  • Strehl Ratio
  • Surveillance
  • Test And Evaluation
  • Vertical Orientation

Fields of Study

  • Physics

Readers

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  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects