InSAR干涉相位图的多级降噪滤波方法

Step Noise Reduction Filtering Method for InSAR Interferometric Phase Images

在InSAR干涉相位图降噪滤波中,目前普遍采用的周期均值滤波、加权周期中值滤波和Goldstein滤波等滤波方法均有一定的的局限性,文章提出一种将加权周期中值滤波、Goldstein滤波和小波降噪滤波相结合的多级降噪滤波方法,并通过对实测数据的处理,证明了该算法在有效滤除噪声的同时,可以较好地保持干涉图的条纹信息。

The periodic pivoting mean filtering method,weighted periodic pivoting median filtering method.Goldstein filtering method are usually adopted for InSAR phase interferogram denoising, but the result are not satisfactory. An algorithm of step interferometric phase filtering method including weighted periodic pivoting median filtering method. Gold- stein filtering method and wavelet denoising is proposed to improve the filtering efficiency, And experiments demonstrated the validity of the algorithm through comparing the different filtering methods and the corresponding phase filtering results. The algorithm not only filtrates noise effectively, but also holds the stripe information of phase interferogram.