合成孔径声纳干涉相位图噪声抑制方法分析

Noise reduction for interferometric phase images in synthetic aperture sonar

讨论了合成孔径声纳的干涉相位图降噪问题。利用加性噪声模型,分析了四种降噪算法:像素平均法、非线性条件邻域均值法、模糊中值法和向量滤波法。通过仿真数据生成的干涉相位图进行降噪分析得到结论:通过像素平均法和条件邻域均值法降噪后不能准确地生成高度图,不推荐在实际中使用。而模糊中值法和向量滤波法通过降噪可以准确地生成高度图。通过相位图残留点数和高度图方差对比发现,向量滤波法性能最优,是一种快速有效的噪声抑制方法。

Noise reduction for interferometric phase images in synthetic aperture sonar （SAS） is addressed in this paper. The phase noise is modeled as additive noise. Four filtering algo-rithm are analyzed. They are pixel-averaging, conditional neighborhood-averaging, morphological and mo- dified median filtering, and vector-filtering. Using the interferometric phase images gener-ated with simulated data, it is found that only the morphological and modified median filtering algorithm and the vector-filtering algorithm can produce accurate height maps. By comparison of residues and the height map variance, it is concluded that the vector-filtering algorithm has the best performance.