提出了一种基于联合单像素模型的InSAR(Interferometric Synthetic Aperture Radar)干涉相位估计方法.能够根据配准误差的大小和方向来构造最优加权观测矢量,同时利用相邻像素的信息,因此具有自适应图像配准和降低相位噪声功能,因而可以在SAR图像配准精度很差(可以允许达到一个分辨单元)的条件下准确地估计相应像素间的干涉相位.
We propose a method to estimate the InSAR(Intefferometric Synthetic Aperture Radar) intefferometric phase based on the model of joint single pixel. In the method we construct the optimal weighted data vector by different coregistration error size and direction .The method takes advantage of the coherence information of neighboring pixel pairs .Therefore it can auto-coreg- ister the SAR images and reduce the intefferometric phase noise simultaneously. Theoretical analysis and computer simulation results show that the method can provide accurate estimate of the terrain interferometric phase (interferogram) even if the coregistration error reaches one pixel.