摘要
提出一种基于局部条纹频率估计的干涉相位图二维高斯滤波方法。该方法采用最大似然法估计局部条纹频率,并用相位噪声的局部标准差评价噪声强度,从而控制滤波器参数实现自适应滤波,并采用仿真数据和SIR-C/XSAR在意大利Etna火山的干涉数据进行试验,将本算法与均值滤波方法和中值滤波方法以及Goldstein滤波方法进行了比较。试验结果表明,该方法不仅能够有效抑制干涉相位噪声,还能够很好地保持干涉条纹的细节信息。
2D Gaussian filter based on local fringe rates estimation is proposed. The method estimates the local fringe rates by using the maximum-likelihood method, and evaluates the intensity of the noise by using the local standard variance of the noise. The parameters of the filter are modified adaptively according to the above two factors, and then adaptive filtering is implemented. By using both, simulated and SIR-C/X SAR generated interferograms, the performance of the method is demonstrated and compared with the mean filter, the median filter and the Goldstein filter. The result shows that the method can filter the phase noise effectively, and preserve the details of interferometric fringes better.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2007年第10期868-871,共4页
Geomatics and Information Science of Wuhan University
