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Department of Engineering, ICT and Technologies for Energy and Transport Patent Title Method for ĮůƚĞƌŝŶŐ interferometric data acquired by syntheƟĐ aperture radar (SAR). Ref. CNR 10285 Assignee(s): CNR CNR InƐƟƚute: IREA Main Inventor: Gianfranco Fornaro Countries: IT, PCT Priority date: 19/07/2013 Abstract The present invenƟon refers to a technique - named CAESAR (Component EdžƚƌĂĐƟon and SeleĐƟon SAR) - for Įůƚering ŵƵůƟƉĂƐs interferometric data acquired by syntheƟĐ aperture radar (SAR). This technique allows the extrĂĐƟŽn of the principal components of the data opĞƌĂƟng, on one hand, a data Įůtering aimed to limit the eīects of temporal and angular variaƟons of the target response and, on the other hand, a selecƟon of interfering components associated with diīerent structures on ground. In ƉĂƌƟĐƵlar this interference Ğīect has a ĚƌĂŵĂƟĐ impact in the analysis of urban areas. The innovaƟŽn of CAESAR consists of allowing such an ĞdžƚƌĂĐƟŽn and seleĐƟŽŶ even in a preliminary stage of the data processing, thus ƐŝŐŶŝĮĐĂntly improving the performances of the method used for interferometric SAR data analysis. Background DƵůƟƉĂƐƐ DiīĞƌĞŶƟĂů SAR interferometry (DInSAR) is a cost ĞīeĐƟǀĞ technique for defoƌŵĂƟŽn monitoring from satellite. SAR tomography is an ĞǀŽůƵƟŽn of this technique which enables an advanced monitoring at the scale of single buildings. It is also able to solve the problem of interference of ĚŝīĞƌĞŶt ďĂĐŬƐĐĂƩĞƌŝŶg contribuƟons. SAR tomography assumes that the data are calibrated through the products generated by the low-resoůƵƟŽn processing based on classical SAR interferometry techniques. Technology CAESAR exploits the method of principal components analysis which is based on the esƟŵĂƟŽŶ of the covariance matrix associated with ŵƵůƟƉĂƐs SAR data. By taking advantage of this sƚĂƟƐƟĐĂů analysis method, CAESAR allows one to operate a Įltering of the whole SAR dataset and to carry out an ĞīĞĐƟve seƉĂƌĂƟŽn of the components associated with diīerent ground backsĐĂƩĞƌŝŶg mechanisms interfering within the same SAR image pixel, prior to the data calibƌĂƟon . Advantages and ApplicaƟons Within the DInSAR analysis context, CAESAR is capable to Įlter and separate possible interfering contrŝďƵƟŽŶƐ at an early processing stage, to improve the monitoring products in areas prone to natural hazards. On the other hand, with reference to the analysis at the scale of buildings and infrastructure, with respect to SAR tomography, CAESAR has shown its poteŶƟality in ƐŝŐŶŝĮĐĂntly increasing the measurements density and / or reducing the dataset size. Development stage A soŌware prototype developed in InƚĞƌĂĐƟve Data Language (IDL) has been implemented. The method has been validated on diīerent datasets acquired by the SAR sensors of the COSMO/SKYMED constellĂƟon. Recently, the eīĞĐƟveness of CAESAR has been also veriĮed within the framework of the processing aimed at monitoring at the scale of single buildings and infrastructures. 47