Massimo Sciotti

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This paper extends previous work on the prediction of passive emitter localization accuracy to the case of multiple closely-spaced sources that emit agile, pulsed waveforms. The proposed approach is based on the iterative calculation of the multi-source Cramér-Rao Bound, conditioned by the probability of generating a measurement for a given source(More)
In this paper, two polarimetric segmentation techniques for polarimetric SAR images are compared. They are both based on the maximum generalised likelihood approach and on a Wishart distribution model. The first technique, named POLSEGANN, is based on a global likelihood approach and on the simulated annealing maximization technique, while the second one(More)
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