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IGARSS
2009

Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes

9 years 5 months ago
Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes
In the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) modelling for coherency matrix estimation in heterogeneous clutter. The complete description of the POLSAR data set is achieved by estimating the span and the normalized coherency independently. The normalized coherency describes the polarimetric diversity, while the span indicates the total received power. Based on the SIRV model, a new maximum likelihood distance measure is introduced for unsupervised POLSAR segmentation. The proposed method is tested with airborne POLSAR images provided by the RAMSES system.
Gabriel Vasile, Jean Philippe Ovarlez, Fréd
Added 20 Feb 2011
Updated 20 Feb 2011
Type Journal
Year 2009
Where IGARSS
Authors Gabriel Vasile, Jean Philippe Ovarlez, Frédéric Pascal
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