Trouvé E, Caramma M, Maître H
Appl Opt. 1996 Jul 10;35(20):3799-806. doi: 10.1364/AO.35.003799.
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.
本文描述了一种用于估计相位干涉测量数据二维局部频率的新算法。通过复正弦波模型，证明了尽管存在乘性噪声扰动，传统的多重信号分类（MUSIC）算法仍可使用。开发了一种专门用于处理干涉图的更快算法，并提出了一种估计置信度的方法。我们使用合成条纹研究了数值性能。频率估计的结果可用于恢复有噪声的相位数据，其中包括条纹局部宽度和方向的知识。给出了从合成孔径雷达图像获得的真实干涉图的复相位滤波器结果。
