结合局部频率估计的小波域InSAR相位滤波新方法

发布时间：2018-06-12 19:29

本文选题：干涉合成孔径雷达 + 相位滤波　；参考：《系统工程与电子技术》2015年12期

【摘要】：干涉相位噪声的存在直接影响相位解缠的效果及最终干涉测量的精度。针对这一问题,本文提出了一种结合局部频率估计的小波域干涉合成孔径雷达(interferometric synthetic aperture radar,InSAR)相位滤波方法。根据局部频率估计可以判断出干涉相位小波系数中包含有用信息的子带。结合VisuShrink和NeighShrink两种小波阈值收缩方法分别具有去噪效果好和细节保持能力强的特点,对有用信息所在子带的小波系数利用NeighShrink方法进行阈值收缩,而对其他子带的小波系数则利用VisuShrink方法进行阈值收缩,从而尽可能地滤除噪声,同时保持干涉条纹的细节信息不被破坏。仿真和实测数据实验验证了本文提出的滤波方法的有效性。
[Abstract]:The existence of interference phase noise directly affects the effect of phase unwrapping and the precision of final interferometric measurement. To solve this problem, a wavelet domain interferometric synthetic aperture radar phase filtering method based on local frequency estimation is proposed in this paper. Based on the local frequency estimation, the subbands containing useful information in the interference phase wavelet coefficients can be determined. Combined with two wavelet threshold shrinkage methods, VisuShrink and NeighShrink, which have good denoising effect and strong detail retention ability, the wavelet coefficients of the subband of useful information are reduced by using the NeighShrink method. The wavelet coefficients of other subbands are reduced by using VisuShrink method to filter the noise as much as possible and keep the details of the interference fringes intact. The effectiveness of the proposed filtering method is verified by simulation and experimental data.
【作者单位】：中国科学院电子学研究所;中国科学院空间信息处理与应用系统技术重点实验室;
【基金】：国家自然科学基金(61401428)资助课题
【分类号】：TN957.52

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