FRINGE DETECTION IN NOISY COMPLEX INTERFEROGRAMS

A new algorithm to estimate the two-dimensional local frequencies of p hase interferometric data is described. With a complex sine-wave model , demonstration is given that a conventional multiple-signal classific ation (MUSIC) algorithm can be used in spite of multiplicative noise p erturbations. A faster algorithm dedicated to the processing of interf erograms is developed and a measure of confidence in the estimate is p roposed. We studied numerical performances using synthetic fringes.; A s a result of the frequency estimation, knowledge of the fringe local width and orientation can be applied to restore noisy phase data. Resu lts of a complex phase filter are presented for real interferograms ob tained from synthetic aperture radar images. (C) 1996 Optical Society of America