基于信噪比门限判断和小波变换的SAR干涉图滤波法

A SAR Interferogram Noise Reduction Algorithm Based on the SNR Threshold and Wavelet Transform

该文首先研究了一种基于离散小波变换(DWT)的干涉图滤波算法,对该算法的噪声模型和处理流程进行了详细的分析,并在其基础上做了基于静态小波变换(SWT)的改进。接着利用实测数据对这两种方法做了实验,通过对实验结果的分析,提出了一种高噪声环境下,在保证残点数降低率的同时,还能提高干涉条纹质量的滤波方法。在此滤波方法的基础上,进一步提出了基于信噪比门限判断的干涉图两级处理滤波法,并对其处理流程做了详细的讨论。利用实测数据对该方法进行了仿真,实验结果验证了该方法的有效性。

This paper first introduces a DWT-based noise reduction algorithm, which phase noise model and processing flow is discussed in detail. By using the Static Wavelet Transform （SWT）, an amelioration of this algorithm and simulation of both algorithms are made with raw data. Based on the analysis of simulation results, a new scheme, which has good performance both in reducing the phase noise and maintaining the continuity of the interferometric fringes especially in highly noisy region, is addressed. In addition, a SAR interferogram noise reduction algorithm based on the SNR threshold is proposed with detailed flow graph analysis. In the raw-data simulation, the results show that the new algorithm is feasible and effective.