Application of Cameron decomposition in the analysis of PSAR images

The Cameron decomposition method is adopted to analyze polarized synthetic aperture radar(PSAR) images.The polarization scattering matrix of the target is matched with eight specific scatterers,and a classification algorithm is presented based on the match angle to classify the targets.Experimental results indicate that this classification algorithm is very efficient in classifying targets and analyzing the scattering mechanism.