The paper describes a novel representation of
polarimetric SAR (PolSAR) data that is inherently non-parametric and therefore
particularly suited for characterising
data in which the commonly adopted hypothesis of Gaussian backscatter is not
appropriate. The descriptor is also non-local and can capture image structure
in terms of the arrangement of edge-, ridge- and point-like features, to yield a
salient characerisation of semi-periodic spatial patterns. The basic approach
is based
closely on [1] and has been adapted for application to PolSAR data. As an example application, the descriptor is evaluated in the context of supervised classification. The performance is compared with conventional statistical approaches on both simulated and real PolSAR dat
