基于方差分量估计的GB-InSAR三维形变解算方法OA

The least-squares-based ground-based interferometric synthetic aperture radar(GB-InSAR)method for solving three-dimensional deformation does not account for deformation continuity or measurement error variations between different radar datasets.To address this,the variance component estimation parametric least squares(Para-LSQ-VCE)method was proposed.For one-dimensional line-of-sight deformation observation matrices acquired from radars at different angles,a parameter matrix is constructed to ensure continuous and smooth deformation solutions.Weighted iteration was then applied to precisely allocate weights,thereby enhancing the accuracy of three-dimensional deformation solutions.Experimental results demonstrate that in simulation experiments,the variance component estimation parameterized least squares method achieves up to 91.12％higher accuracy in three-dimensional deformation solutions compared to the least squares method.In field experiments,this method improves three-dimensional deformation solution accuracy by 86.67％.The method proposed in this article has improved the accuracy of GB-InSAR three-dimensional deformation monitoring,which has important theoretical significance and application value for promoting the application of GB-InSAR in the field of precision measurement.