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.

© 1996 Optical Society of America

Phase unwrapping through fringe-line detection in synthetic aperture radar interferometry

Qian Lin, John F. Vesecky, and Howard A. Zebker
Appl. Opt. 33(2) 201-208 (1994)

Disk-growing algorithm for phase-map unwrapping: application to speckle interferograms

C. De Veuster, P. Slangen, Y. Renotte, L. Berwart, and Y. Lion
Appl. Opt. 35(2) 240-247 (1996)

Demodulation of a single complex fringe interferogram with a path-independent regularized phase-tracking technique

Chao Tian, Yongying Yang, Dong Liu, Yongjie Luo, and Yongmo Zhuo
Appl. Opt. 49(2) 170-179 (2010)

Absolute phase estimation: adaptive local denoising and global unwrapping

Jose Bioucas-Dias, Vladimir Katkovnik, Jaakko Astola, and Karen Egiazarian
Appl. Opt. 47(29) 5358-5369 (2008)

Two-dimensional continuous wavelet transform for phase determination of complex interferograms

Jun Ma, Zhaoyang Wang, Bing Pan, Thang Hoang, Minh Vo, and Long Luu
Appl. Opt. 50(16) 2425-2430 (2011)