基于边缘检测的自适应干涉SAR降噪方法

提出了一种新的相位滤波方法,基于干涉条纹方向的检测,完全自适应地对干涉相位进行滤波。本方法计算简单,十分适用于干涉条纹密集的区域进行滤波。通过SIR—C／X—SAR的X—SAR数据的处理验证,结果令人满意。

Edge Detection-based Adaptive Approach for Interferometric SAR Image Noise Reduction

Thermal and "Speckle"noise is an obstacle to get digital elevation model(DEM) from the interferogram by 2-D unwrapping of interferogram phase. An adaptive filtering method for synthetic aperture radar(SAR)interferometric phase images is presented in this paper. Based on sixteen directional masks, which are the enlarged Prewitted edge masks, the fringe direction can be determined. Then those pixels on the same direction is filtered by average phase filtering method to generate filtered phase value. In fact, the change of interferogram phase is a gradual change. The pixel's direction can be selected from the neighbouring directions of the preceding pixels in order to avoid too many computation about the directions of the present pixel. This method is useful, especially for tightly packed fringes. The method can be carried out easily. Using interferograms generated by SIR-C/X-SAR repeat-pass, its effectiveness is tested.