地基SAR干涉相位滤波优化方法

Ground-based SAR Interferometric Phase Filtering Optimization

地基SAR对边坡进行形变监测过程中,为了获得较高的图像质量和进行相位解缠的需要,往往要对干涉相位进行滤波优化,以提高干涉相位图的信噪比,减少干涉相位图中的残差点,从而有助于更好地进行相位解缠,提高形变监测的精度与可行性。本文针对地基SAR干涉相位图的空变等特性,对地基SAR干涉相位滤波算法进行了研究,着重介绍了四种经典、高效的干涉相位滤波算法,并进行了地基SAR边坡形变监测试验,使用实测干涉数据进行了四种滤波处理,从定量及定性的角度对每种滤波算法进行了比较与评估。最终给出了最优滤波算法,为地基SAR进行干涉相位实时滤波优化及后续数据处理提供了基础。

In the process of ground-based SAR slope deformation monitoring,in order to obtain high quality image and satisfy the need of phase unwrapping,we always need to filter the interferometric phase. Phase filtering can not only improve the signal to noise ratio of the image but also reduce the residuals of interferometric phase image,which contributes to a better phase unwrapping. Thereby the accuracy and feasibility of deformation retrieval can be improved. For the space-variant characteristics of ground-based SAR interferometric phase image,we studied four classic and efficient ground-based SAR interferometric phase filtering algorithm in this paper. Then ground-based SAR slope deformation monitoring experiment was carried out. Four filtering results of the real ground-based SAR interferometric data were given to compare and evaluate the various filtering algorithms by quantitative and qualitative analysis. Finally,the optimal filtering algorithm is given,which lay the foundation for the ground-based SAR interferometric phase real-time filtering optimization and subsequent data processing.