一种适用于低频InSAR的改进空变维纳预滤波算法

An Improved Space⁃Varying Wiener Pre⁃Filtering Algorithm Applied for Low⁃Frequency InSAR

为了提高低频干涉合成孔径雷达(Interferometric Synthetic Aperture Radar, InSAR)干涉相位图质量,本文提出一种改进的空变维纳预滤波算法。该算法首先改进了空变维纳预滤波算法的滤波器结构,通过改变了参数估计方法,减少了计算量,提高了计算效率;其次,引入了迭代处理,从而有效提升了预滤波处理效果;最后,联合公共带预滤波处理方法,去除多余噪声,进一步提升干涉相位图质量。仿真数据和实测数据处理结果表明:经过本文所提算法处理后,在未缩减频谱范围的前提下,可使相干系数和干涉相位图质量得到提升,从而验证了所提算法的有效性和实用性。

To improve the quality of interferometric phase maps in low⁃frequency interferometric synthetic aper⁃ture radar(InSAR),this paper proposes an enhanced space⁃varying Wiener pre⁃filtering algorithm that can improve the filter structure of the space⁃varying Wiener pre⁃filtering algorithm and change the parameter estimation method.So,it can significantly reduce computational effort and enhance the practicality of the algorithm.In addition,the proposed pre⁃filtering algorithm introduces iterative processing to further improve the pre⁃filtering effect.Finally,a common band pre⁃filtering method is utilized to remove the excess noise,which improves the quality of interferometric phase map.Simula⁃tion and real data processing results show that the proposed algorithm significantly enhances the coherent coefficient and interferometric phase map quality without reducing the spectral range,thus validating the effectiveness and practi⁃cality of the proposed algorithm.