In this paper we consider a statistical model for interferometric SAR images accounting for both the non-Gaussian statistics of the amplitude probability density function and for the most credited model for the interferometric phase distribution. At the basis of the model is the inapplicability of the central-limit theorem for resolution cells composed by a non-deterministic number of scatterers. Experimental results carried out on both single-pass and repeat-pass interferometric data show a very good agreement between the theoretically derived phase probability density function and the measured one

Statistical Characterization of the Phase Process in Interferometric SAR Images

M. DI BISCEGLIE;GALDI C;
1996

Abstract

In this paper we consider a statistical model for interferometric SAR images accounting for both the non-Gaussian statistics of the amplitude probability density function and for the most credited model for the interferometric phase distribution. At the basis of the model is the inapplicability of the central-limit theorem for resolution cells composed by a non-deterministic number of scatterers. Experimental results carried out on both single-pass and repeat-pass interferometric data show a very good agreement between the theoretically derived phase probability density function and the measured one
0-7803-3068-4
Non-Gaussian statistics ; SAR interferometry
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12070/12464
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