The K-generalized Fading Model to Characterize Marine Features in SAR images: First Results
Maurizio Migliaccio(1) , Giuseppe Ferrara(1) , Attilio Gambardella(2) , and Dario Aiello(1)
Università degli Studi di Napoli Parthenope,
Via Acton, 38,
(2) Università degli Studi di Cagliari, Piazza D’Armi, 19, 09123 Napoli, Italy
The K-generalized distribution is a three parameters probability density function (pdf) which ensures a continuous and physically consistent transition among different scattering scenarios. This fading model can embody the Rayleigh case (which is descriptor of land scenes), the Rice case (which is descriptor of the presence of a dominant scatterer) and the K distribution (which is descriptor of marine scenes). Thus, this model allows a continuous and physically consistent transition among very different scattering scenarios.
In this paper, we investigate the sensitivity of the three K-generalized parameters as descriptors of dark features over SAR images. The reference data set has been provided by the ESA under the CAT-1 Project C1P-2769. First results will be shown at the workshop.