In this paper we present two methods to estimate the local orientation of spatial texture in polarimetric SAR data. The first approach is based on an original spatial parametric modelling of the 2D autocorrelation function, and was introduced in a previous paper. The second method is based on orientation interpolation between a reduced set of basis functions called steerable filters. Both are applied to measured polarimetric SAR data