Large-gradient deformation monitoring and parameter inversion in a mining area using a method combining a dynamic prediction model and InSAR

Abstract

ABSTRACT It is a challenge to map large-gradient deformation over mining areas via current InSAR (interferometric synthetic aperture radar) techniques. To this end, we present a new method that is combined with the DPM (dynamic prediction model). Our method can be divided into two parts. The core of the first part is a DPM-based simulation and removal for the large-gradient phase. The phase continuity can be restored to a great extent as the simulation has considered the delayed effect of underground mining. In this step, we can determine the DPM parameters following the rule of thumb. In the second, with LOS (line-of-sight) displacement observed from the first part, a multi-objective GA (genetic algorithm) was used to refine the DPM parameters and the subsequent deformation was predicted. Finally, we show an example of the proposed method in the case of a mine in Huaibei, China.