A STUDY ON ALGORITHMS AND PARAMETER SETTINGS FOR DS PREPROCESSING PART 2

The past two decades have seen continuing progress in the field of deformation analysis based on Interferometric Synthetic Aperture Radar (InSAR) data. In particular, refined methods for processing distributed scatterers (DS) have been developed. A general idea is that in a pre-processing step DS can be transformed to quasi PS and that the quasi PS together with PS can be analyzed with an arbitrary PS algorithm. This can be achieved by grouping statistically similar pixels, applying some outlier rejection, estimating the coherence matrix based on the group of pixels, performing some bias correction and extracting the signal of the DS from the coherence matrix. In the first part of this study, presented at IGARSS 2021, different alternatives for grouping, estimation of the coherence matrix and signal extraction have been investigated with help of comprehensive simulations. Meanwhile, these investigations have been complemented with tests on Sentinel 1 data and of outlier rejection and bias correction, which are the focus of this second part of the study.