针对基于相干系数的PS-DInSAR时序差分干涉图主影像优化选取方法存在的干涉对垂直空间基线、时间基线和多普勒质心频率差3个因素中有任意一个因素大于临界值时,其他2个因素的影响将被忽略的问题,提出了基于正则化距离的主影像优化选取方法.实验结果表明,当干涉图序列的时空基线或多普勒质心频率差总体较大时,所提方法较基于相干系数的方法更加有效和可靠.
The method of time series differential interferogram common master image selection for PS-DInSAR based on the coherence coefficient of interferometric pairs was analyzed.Its problem was pointed out as follows: one of the three factors of spatial baseline,temporal baseline and Doppler centroid frequency difference was greater than the critical value,the other two factors would be ignored.To solve the problem,an optimum method for the common master image selection by using the regularization distance was proposed.The simulated and real SAR data processing results show that the proposed new method is more effective and reliable than the method based on coherence coefficient when most of the spatial-temporal baselines or the Doppler centroid frequency differences are greater than the critical value.