Unsupervised Classification of Fully Polarimetric SAR Data Based on the PSO Algorithm

A new unsupervised classification method of fully polarimetric SAR data based on the PSO algorithm and H/α/A is presented.Firstly,the result obtained by H/α/A classification is used to initialize the clustering centers,and then the fully polarimetric SAR data is classified by the PSO algorithm.Meantime,the Wishart distance measure is employed to improve the performance of the PSO-H/α/A classifier.Experimental results show that the new scheme proposed in this paper can effectively classify the fully polarimetric SAR data.