Abstract:Considering the influence of gross error on three-dimensional surface deformation based on multi-LOS D-InSAR technology, ascribing gross errors to random model, we propose a method of the robust estimation of the three-dimensional surface deformation. We calculate the three-dimensional deformation using the least square method, and pre-residuals of measurements are obtained. Then, we establish the function between the least squares residuals and the unit weight variance. The weight of InSAR measurements are calculated from the unit weight variance. Based on the equivalent weight principle of the weighted iteration method, we process the robust estimation of the three-dimensional surface deformation using IGGⅢ weight function. We verify the feasibility and precision of the proposed method in a real data experiment based on the case of 2009 L’Aquila earthquake. The verification results show that the proposed robust estimation of 3-D surface deformation can effectively eliminate the influence of the gross error.