A KALMAN FILTER BASED MTINSAR METHODOLOGY FOR DERVING 3D SURFACE DISPLACEMENT EVOLUTIONS

摘要

Here we present a novel approach of derivingthree-dimensional surface displacement frommulti-sensor, multi-track and multi-temporalinterferograms. The interferogram variance, e.g.,temporal coverage and radar look direction, areeliminated by Kalman filter, which observation andstate models have been designed for our InSARmeasurements. 21 SAR images over Los Angeles fromENVISAT ascending orbit, ENVISAT descendingorbit and ALOS ascending orbit are exploited tovalidate our approach.