Algorithms and Array Design Criteria for Robust Imaging in Interferometry

Abstract

Optical interferometry is a technique which can be used to obtain high-resolution imagery of a distant target by interfering light collected by multiple telescopes. Image restoration from interferometric measurements poses a unique set of challenges. The first challenge is that the measurement set provides only a sparse-sampling of the objects Fourier Transform and hence image formation from these measurements is an inherently ill-posed inverse problem. Secondly, atmospheric turbulence causes severe distortion of the phase of the measured Fourier samples. We develop array design conditions for unique recovery of the true Fourier phase in the presence of this distortion, as well as a comprehensive algorithmic framework based on the notion of redundant-spaced-calibration (RSC), which together achieve reliable image reconstruction in spite of these challenges.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2016
Accession Number
AD1033698

Entities

People

  • Binoy G. Kurien

Organizations

  • Harvard University

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Atmospheric Motion
  • Coding
  • Compressed Sensing
  • Computational Science
  • Data Science
  • Detectors
  • Image Reconstruction
  • Information Processing
  • Information Theory
  • Linear Algebra
  • Measurement
  • Radio Interferometry
  • Signal Processing
  • Statistical Algorithms
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Distributed Systems and Data Platform Development
  • Optical Physics and Photonics.

Technology Areas

  • Space
  • Space - Space Objects