Abstract: PS-InSAR is a microwave remote sensing technique which provides high-resolution maps of large-scale ground displacement. However, it is incapable of deformation prediction. The existing deformation prediction approaches can be only applied to a few point targets, but are limited in monitoring relatively large areas. In this work, a surface deformation prediction method of PS-InSAR is proposed based on Kalman filter. First, the process of PS-InSAR is outlined. Then a Kalman filter is designed theoretically. Finally, the experiments performed on the real multi-temporal SAR data confirm the validity of the proposed method. The experimental results show that the proposed approach makes full use of the displacement information acquired from PS-InSAR and effectively predicts the trend of ground deformation over wide areas.

Key words: PS-InSAR, Kalman filter, deformation prediction, data procession