Abstract: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.
李 晨; 朱岱寅. 基于信噪比门限判断和小波变换的SAR干涉图滤波法[J]. 电子与信息学报, 2009, 31(2): 497-500 .
Li Chen; Zhu Dai-yin. A SAR Interferogram Noise Reduction Algorithm Based on the SNR Threshold and Wavelet Transform. , 2009, 31(2): 497-500 .