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Filtering method for SAR interferograms with strong noise

机译:高噪声SAR干涉图的滤波方法

摘要

We develop a filtering method for SAR interferograms with strong noise based on the concept of the Vondrák filter and the commonly used Goldstein filter. The one-dimensional Vondrák filter is first extended to two dimensions, and then utilized to smooth the Fourier spectra of overlapped interferogram patches. The smoothed spectra are then back-transformed into the interferogram space. Experimental results with simulated and real datasets show that the proposed filter can eliminate up to 70% of noise in a SAR interferogram. The results also show a 15% to 35% improvement over some of the existing filters when the noise in an interferogram is strong, and the stronger the noise in an interferogram, the greater is the improvement.
机译:我们基于Vondrák滤波器和常用的Goldstein滤波器的概念,开发了一种用于SAR干涉图的强噪声滤波方法。一维Vondrák滤波器首先扩展到二维,然后用于平滑重叠干涉图斑的傅立叶光谱。然后将平滑后的光谱反变换到干涉图空间中。模拟和真实数据集的实验结果表明,所提出的滤波器可以消除SAR干涉图中高达70%的噪声。结果还显示,当干涉图中的噪声很强时,相对于某些现有滤波器,可将其提高15%至35%,并且干涉图中的噪声越强,则改善越大。

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