OCLeaS - A tomographic PSI Algorithm using Orthogonal Matching Pursuit and Complex Least Squares

This letter describes an algorithm using Compressive Sensing to analyse a stack of SAR images to monitor small urban areas. It uses the combination of the Orthogonal Matching Pursuit and Complex Least Squares, in order to estimate the residual height, thermal dilation coefficient and the displacement rate associated with one or multiple dominant persistent scatterers in a SAR resolution cell. It can be interpreted as a hybrid tomographic-PSI algorithm. The proposed method is tested with simulated data over single and double PS. Then it is applied to a stack of 79 SAR scenes over the Central Business District of the city of Perth in Australia. The results are compared to a conventional algorithm. (C) 2021 The Authors. Published by Elsevier B.V.