Wagner Barreto da Silva

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A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this paper. Its input consists of segments, and each one is assigned the class which minimizes a stochastic distance. Assuming the complex Wishart model, several stochastic distances are obtained from the h-φ family of divergences, and they are employed to derive hypothesis(More)
In this tutorial we present a general description of state estimation problems within the Bayesian framework. State estimation problems are addressed, in which evolution and measurement stochastic models are used to predict the dynamic behavior of physical systems. The application of two Bayesian filters to linear and non-linear unsteady heat conduction(More)
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