title: Fringe detection in noisy complex interferograms.
abstract: A new algorithm to estimate the two-dimensional local frequencies of phase interferometric data is described. With a complex sine-wave model, demonstration is given that a conventional multiple-signal classification (MUSIC) algorithm can be used in spite of multiplicative noise perturbations. A faster algorithm dedicated to the processing of interferograms is developed and a measure of confidence in the estimate is proposed. We studied numerical performances using synthetic fringes. As a result of the frequency estimation, knowledge of the fringe local width and orientation can be applied to restore noisy phase data. Results of a complex phase filter are presented for real interferograms obtained from synthetic aperture radar images.
authors.forename: E
authors.initials: E
authors.lastname: Trouvé
authors.forename: M
authors.initials: M
authors.lastname: Caramma
authors.forename: H
authors.initials: H
authors.lastname: Maître