基于优化回波数据的图像配准InSAR干涉相位估计

Image Auto-coregistration and InSAR Interferometric Phase Estimation Based on Optimum Data Vector

提出一种基于优化回波数据的自适应图像配准InSAR干涉相位估计方法。该方法充分利用相应像素对及其相邻像素的相干信息,通过获得的最优加权向量对SAR图像进行自适应配准处理,实现对回波数据优化从而获得地形干涉相位最优估计。实验结果表明了该方法有效性的同时,能够在SAR图像配准误差较大(可以允许达到一个分辨单元)的情况下,得到稳健的干涉相位估计结果。

A new method of the InSAR interferometric phase estimation based on the optimum data vector was introduced. The method made use of the coherence information of the neighboring image pixels and the obtained optimal weighted vector to auto-coregister the SAR images and to perform the optimization on the received echo data. Theoretical analysis and experimental results show that the method can provide the accurate estimation of the interferometric phase even if the coregistration error is close to one pixel. The effectiveness and robustness of the technique is verified by the simulated and real data.