一种基于Non-Local Means的地基差分干涉雷达相位滤波改进方法

地基差分干涉雷达相位图中,往往含有大量相位噪声,严重影响相位解缠和形变测量结果.有鉴于此,本文提出一种改进的自适应非局部均值(Non-Local Means)组合滤波算法.该算法首先利用相干系数构造出可自适应的平滑参数模型,有效改善了Non-Local Means算法在滤波参数选择上的固定性.其次,利用维纳滤波可对空变...

An Improved Phase Filtering Method for Ground-based Differential Interferometer Radar Based on Non-Local Means

The phase pattern of ground-based differential interferometer radar usually contains a lot of phase noise， which seriously affects the phase unwrapping and deformation measurement results. In order to obtain a higher image quality， an improved Non-Local Means combined filtering algorithm is proposed in this paper.Firstly， the algorithm uses the coherence coefficient to construct an adaptive smoothing parameter model， which effectively improves the limitations of the Non-Local Means algorithm in the selection of filtering parameters.Secondly， since Wiener filtering can effectively filter the space-variant noise， this paper effectively combines adaptive Non-Local Means with Wiener filtering to better maintain the phase continuity and improve the image edge ambiguity.The measured data show that， compared with the adaptive median filtering algorithm， Goldstein algorithm and traditional Non-Local Means algorithm， the proposed algorithm has obvious advantages in suppressing phase noise， maintaining phase continuity and improving image edge ambiguity.