一种改进的Goldstein InSAR干涉图滤波算法
A Modified Goldstein Algorithm for InSAR Interferogram Filtering
-
摘要: 提出了一种抑制InSAR干涉图噪声并保持干涉图条纹细节的算法,该算法改进了Goldstein滤波的参数α,将干涉图的相位标准偏差函数模型作为参数。相位标准偏差是相位噪声的体现,以干涉图的相位噪声强弱来决定滤波的强弱,噪声强的局部区域强滤波,噪声弱的局部区域弱滤波。实验结果表明,此方法改善了滤波效果,增强了滤波的局部自适应性和条纹细节的保真性。Abstract: An algorithm for filtering InSAR phase noise and preserving details of interferometric fringes is proposed,which improves Goldstein filtering parameter α and considers function of standard deviation of phase to be parameter.The standard deviation of phase shows phase noise effectively.According to degree of interferogram phase noise,the method can determine degree of filter strength.The modification can make the local area with strong noise strongly filtered,while those with week noise weekly filtered.Experimental results with both the simulated data sets and the real one show that the new method can improve filtering effect and enhance the local adaptability of the filter and fidelity details of interferometric fringes.
下载:
