一种适用于时序InSAR的同质像元加权干涉相位滤波方法

为了有效地利用多时相InSAR的时间维度信息, 并保证滤波窗口内像元的同质性, 提出一种同质像元加权干涉相位滤波方法。首先采用拟合优度检验, 对多时相SAR 图像的同质像元进行识别, 然后在同质像元之间进行加权干涉相位滤波, 以保证中心像元在滤波过程中不受周边非同质像元干扰。基于真实干涉SAR图像的实验结果表明, 与经典Goldstein滤波及Lee滤波相比, 该滤波方法在目视效果、相位残差点数量及相位导数标准差3个指标上具有优势, 实现滤波器的设计初衷。

A Homogenous Pixel-Weighted Interferometric Phase Filtering Method for Time-series InSAR

In order to effectively use the temporal information of multi-temporal InSAR and ensure the homogeneity of pixels in the window, a homogenous pixels-weighted interferometric phase filtering method is proposed. The method firstly uses the goodness-of-fit test to identify the statistically homogenous pixels (SHP) in the multi-temporal SAR images, and then the weighted interferometric phase filtering is performed just within those SHP, which ensures that the central pixels is not affected by the surrounding heterogeneous pixels. The experimental results based on real SAR interferograms show that compared with classic Goldstein filter and Lee filter, the proposed filter has advantages in visual effect, phase residues reduction, and phase derivative standard deviation, and achieves the original intention of the design of this filter.