Advanced Imaging Methods for Long-Baseline Optical Interferometry

Guy Le Besnerais

doi:10.1109/JSTSP.2008.2005353

Advanced Imaging Methods for Long-Baseline Optical Interferometry

2008-10-01

33

OA

AI

DOI：10.1109/JSTSP.2008.2005353

原文链接

原文求助

摘要

En 中文

We address the data processing methods needed for imaging with a long baseline optical interferometer. We first describe parametric reconstruction approaches and adopt a general formulation or nonparametric image reconstruction as the solution of a constrained optimization problem. Within this framework, we present two recent reconstruction methods, MIRA and WISARD, representative of the two generic approaches for dealing with the missing phase information. MIRA is based on an implicit approach and a direct optimization of a Bayesian criterion while WISARD adopts a self-calibration approach and an alternate minimization scheme inspired from radio-astronomy. Both methods can handle various regularization criteria. We review commonly used regularization terms and introduce an original quadratic regularization called soft support constraint that favors the object compactness. It yields images of quality comparable to nonquadratic regularizations on the synthetic data we have processed. We then perform image reconstructions, both parametric and nonparametric, on astronomical data from the IOTA interferometer, and discuss the respective roles of parametric and nonparametric approaches for optical interferometric imaging.

Keyword:

Fourier synthesis

image reconstruction

optical interferometry

phase closure

Advanced Imaging Methods for Long-Baseline Optical Interferometry

摘要

期刊

机构