Improving SAR tomography via CAESAR for built structures monitoring: An application to COSMO-SKYMED data

In the last years spaceborne Synthetic Aperture Radar (SAR) Tomography has been successfully exploited for the analysis of complex scenarios, such as urban areas and infrastructures. In this work a novel method is investigated to achieve improved multidimensional tomographic reconstructions of built structures at a fine scale: it exploits a preliminary data filtering stage carried out via the Component extrAction and sElection SAR (CAESAR) algorithm, based on the application of the Principal Component Analysis (PCA) with a reduced multilooking degree. Experimental results obtained by applying this technology to COSMO-SKYMED data are shown.