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Improved Goldstein Interferogram Filter Based on Local Fringe Frequency Estimation

机译:基于局部条纹频率估计的改进的Goldstein干涉图滤波器

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The quality of an interferogram, which is limited by various phase noise, will greatly affect the further processes of InSAR, such as phase unwrapping. Interferometric SAR (InSAR) geophysical measurements’, such as height or displacement, phase filtering is therefore an essential step. In this work, an improved Goldstein interferogram filter is proposed to suppress the phase noise while preserving the fringe edges. First, the proposed adaptive filter step, performed before frequency estimation, is employed to improve the estimation accuracy. Subsequently, to preserve the fringe characteristics, the estimated fringe frequency in each fixed filtering patch is removed from the original noisy phase. Then, the residual phase is smoothed based on the modified Goldstein filter with its parameter alpha dependent on both the coherence map and the residual phase frequency. Finally, the filtered residual phase and the removed fringe frequency are combined to generate the filtered interferogram, with the loss of signal minimized while reducing the noise level. The effectiveness of the proposed method is verified by experimental results based on both simulated and real data.
机译:受各种相位噪声限制的干涉图的质量将极大地影响InSAR的进一步处理,例如相位展开。因此,干涉SAR(InSAR)地球物理测量(例如高度或位移)是必不可少的步骤。在这项工作中,提出了一种改进的Goldstein干涉图滤波器,以在保持边缘边缘的同时抑制相位噪声。首先,在频率估计之前执行建议的自适应滤波步骤,以提高估计精度。随后,为了保留条纹特征,将每个固定滤波补丁中的估计条纹频率从原始噪声相位中移除。然后,基于修改后的Goldstein滤波器对残留相位进行平滑处理,其参数alpha取决于相干图和残留相位频率。最后,将滤波后的残留相位和去除的条纹频率组合在一起,以生成滤波后的干涉图,同时将信号损失降至最低,同时降低噪声水平。基于模拟和真实数据的实验结果验证了该方法的有效性。

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