Dr Salvatore Savastano

Postgraduate Research Student

Academic and research departments

Surrey Space Centre.


My research project


Salvatore Savastano, Raffaella Guida (2018)Uncertainty quantification in synthetic aperture radar remote sensing data processing, In: Proceedings of IGARSS 2018, the 38th annual symposium of the IEEE Geoscience and Remote Sensing Society (GRSS) Institute of Electrical and Electronics Engineers (IEEE)

A new methodology, based on the International Organization for Standardization (ISO) Guide to the expression of Uncertainty in Measurement (GUM), for the analysis of uncertainties in Synthetic Aperture Radar (SAR) remote sensing data is presented. The principal idea is to assess the sources of uncertainty, developing computational approaches to propagate uncertainties through the whole SAR signal processing chain. The final goal is to construct uncertainties budgets to quantify the total uncertainty of SAR products, permitting their ’traceability’ to international reference standards.