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This activity presents a Synthetic Aperture Radar (SAR) simulator designed to assess the performance of bi-static SAR missions. It is a modular software able to simulate realistic SAR data (including injection of the system non-idealities), to estimate the SAR performance at radiometric and interferometric level. In order to ensure accurate measures of the bi-static performance, it simulates raw data exploiting a time-domain approach, without assumptions on the acquisition geometry. This feature makes the simulator a useful tool for the design of new SAR missions concepts.
Aresys
The difficult and costly access to reliable and quality Earth Observation (EO) satellite data has historically often limited the development of operational and sustainable services in multiple application domains (among which Disaster Risk Management) and, as a consequence, it has impaired the benefit that the society could have been receiving back as a return of huge multi annual investments in the space sector.
E-GEOS
Shannon-Nyquist theorem rules the signal sampling stating that the signal must be sampled at a rate of at least twice the maximum frequency present in the signal to be fully reconstructed. Compressive Sensing (CS) theory affirms that a sparse signal can be efficiently reconstructed by the acquisition of a number of samples far below the minimal one dictated by Nyquist theorem, thus providing a new approach to data acquisition. CS technique is based on the concept of sparsity. The information rate of a continuous 'sparse' signal may be much smaller than suggested by its bandwidth.
CNR-IFAC
Indonesia is periodically affected by severe volcanic eruptions and earthquakes, which are geologically coupled to the convergence of the Australian tectonic plate beneath the Sunda Plate. SAR interferometry (InSAR) is a satellite technology based on radar sensors that can be used to support the study and modelling of terrain movements such as tectonic motions associated with faults, and volcanic processes related to magma movement. The main advantages of InSAR is the synoptic view of wide areas, and the periodic surveying that guarantees long-term monitoring and time series analysis.
ISSIA
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