A Kalaman Filter Based MTInSAR Methodology For Deriving 3D Surface Displacement Evolutions

Here we present a novel approach of deriving three-dimensional surface displacement from multi-sensor, multi-track and multi-temporal interferograms. The interferogram variance, e.g., temporal coverage and radar look direction, are eliminated by Kalman filter, which observation and state models have been designed for our InSAR measurements. 21 SAR images over Los Angeles from ENVISAT ascending orbit, ENVISAT descending orbit and ALOS ascending orbit are exploited to validate our approach.