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A Fast Non-Local Means Filtering Method for Interferometric Phase Based on Wavelet Packet Transform
Radio Science ( IF 1.6 ) Pub Date : 2021-04-14 , DOI: 10.1029/2019rs007052
Zhan Yan 1, 2, 3 , Hang Yan 4 , Tao Wang 5
Affiliation  

Phase unwrapping is very important to acquire surface deformation using InSAR, unwrapping the interferometric phase directly is not appropriate because the phase is affected by various noises. Therefore, it is essential to apply a suitable filter to the interferometric phase before phase unwrapping. Although there are many filtering methods for noise, these methods cannot be used directly due to the particularity of interferometric phase noise and therefore it is important to do the corresponding domain transformation. Here, a fast non-local means filtering method based on wavelet packet transform is proposed. Originally, wavelet packet transform is performed on the real part and the imaginary part respectively, which avoids the influence of phase jumps on the subsequent filtering. Furthermore, the fast non-local means filtering can be applied to smooth the acquired wavelet packet coefficients. Eventually, inverse transform of the wavelet packet is used to reconstruct the phase after filtering. Compared with other filtering algorithms in simulated and actual Sentinel-1 data, the superiority of this algorithm is proved.

中文翻译:

一种基于小波包变换的干涉相位快速非局部均值滤波方法

相位解缠对于使用 InSAR 获取表面变形非常重要,直接解缠干涉相位是不合适的,因为相位会受到各种噪声的影响。因此,必须在相位展开之前对干涉相位应用合适的滤波器。虽然对噪声的滤波方法有很多,但由于干涉相位噪声的特殊性,这些方法不能直接使用,因此做相应的域变换是很重要的。在此,提出了一种基于小波包变换的快速非局部均值滤波方法。本来是对实部和虚部分别进行小波包变换,避免了相位跳跃对后续滤波的影响。此外,可以应用快速非局部均值滤波来平滑获取的小波包系数。最终,小波包的逆变换被用来重建滤波后的相位。在模拟和实际Sentinel-1数据中与其他滤波算法相比,证明了该算法的优越性。
更新日期:2021-06-02
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