The problem of estimating the coherence area, namely the maximum size of a set of data with one and the same texture signal, is addressed in this paper. Based upon the compound-Gaussian model for the received data, the problem is stated in terms of a composite binary hypothesis test. Two different strategies yielding two parameter-free tests have been envisaged for the cases where the in-phase and quadrature components of the signal or only its intensity are available respectively. For both cases, the performance of the tests has been investigated through its operating characteristics.

Fitting the compound-Gaussian model to SAR sea images

DI BISCEGLIE M;
1993

Abstract

The problem of estimating the coherence area, namely the maximum size of a set of data with one and the same texture signal, is addressed in this paper. Based upon the compound-Gaussian model for the received data, the problem is stated in terms of a composite binary hypothesis test. Two different strategies yielding two parameter-free tests have been envisaged for the cases where the in-phase and quadrature components of the signal or only its intensity are available respectively. For both cases, the performance of the tests has been investigated through its operating characteristics.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12070/12630
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