Statistics of SDH target decomposition theorems in radar polarimetry

The comparisons between different decompositions show that the SDH (sphere, deplane, helix) target decomposition gives the best overall performance with other automatic classification algorithms. In this paper, we emphasize that the different decompositions include the equal information while they decompose the information to different sub-scattering matrices indeed. The statistics of the SDH target decomposition theorems in radar polarimetry is given for the stochastic target fluctuation. Many classification algorithms almost ignore the important decomposed phases, therefore they make some useful information lost, which lead to the worse performance of classification. The results of this work are helpful to enhance the performance of classification.