一种新的InSAR干涉纹图的滤波方法

在干涉处理时做了多视处理,干涉相位图中噪声依然比较严重。噪声影响着干涉SAR的图像质量,使得相位解缠无法进行或者使生成的DEM精度降低。为了获得高质量的干涉SAR图像,必须对噪声进行有效抑制,同时应该保持干涉SAR图像的分辨率。文中探讨了干涉合成孔径雷达(InSAR)中干涉相位图的噪声抑制方法,提出了基于非线性偏微分方程的干涉纹图的滤波方法。该方法的优点是在消除噪声的同时,有效地保留干涉条纹的边缘信息。文中采用了加拿大RadarSat1数据,实验处理结果验证了方法的有效性。

Novel approach to noise reduction of interferometric SAR phase

In the data processing of interferometric synthetic aperture radar(InSAR),any improper altering of the wrapped phase may influence the quality of the derived digital elevation model(DEM) because the interferometric phase contains the topographic information,and one of the difficulties in phase noise filtering is how to remove the noise and preserve the sharp sawtooth profile of the fringe effectively.In this paper,the classical phase noise suppression methods of the InSAR interferogram are analyzed including the average filter and the median filter,and a new adaptive approach based on the nonlinear partial differential equation(PDE) is presented. The experimental results obtained from processing Canada Radarsat1 data confirm that in comparison with the classical approaches, the presented method is more effective in suppressing noise in the interferogram of InSAR.