Elisabeth Simonetto

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It is well known that a SAR image is composed of two types of information: amplitude and phase. Nevertheless, the information contained in the phase is hardly exploited on its own. Indeed, the number of processes at work and the scale difference between the image resolution and the wavelength induce, with regard to the phase, a quasi-random spatial(More)
In this study, we consider the capability of a single look high-resolution PoLSAR image for discriminating different surfaces in urban area. First, a basic framework is set up to extract different polarimetric descriptors from Sinclair matrix and coherency matrices, coherent and incoherent decomposition descriptors, and some discriminators. Then, we use a(More)
– Vulnerability assessment of systems exposed to earthquakes has been increasily investigated in the last few years. Most efforts have been devoted particularly to vulnerability reduction of what is commonly called the physical vulnerability, given in terms of expected behaviour. This includes the damage inflicted on exposed elements. It is however(More)
In this work, we propose a state-of-the-art on statistical analysis of polarimetric synthetic aperture radar (SAR) data, through the modeling of several indices. We concentrate on eight ground classes which have been carried out from amplitudes, co-polarisation ratio, depolarization ratios, and other polarimetric descriptors. To study their different(More)
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