SBAS and PS measurement fusion for enhancing displacement measurements

A major drawback of classical SAR interferometry is its sensitivity to temporal and geometric effects, leading to a distortion of the final results. This problem can be solved by using multi-temporal techniques, like the Small Baseline Subset and Persistent Scatterers algorithms. Both use large datasets for monitoring land cover deformation, motion or for DEM generation. Despite the fact that using the Persistent Scatterers technique can lead to a maximization of the number of acquisitions used, the number of persistent points is greatly reduced by a decrease of the coherent values of the targets over time. In this article, the authors propose a method for the selection of temporal persistent points using image subsets that comply with the small baseline rule. This method is further used to increase the accuracy of deformation measurements over the subsets´ time span.