Unsupervised PolSAR image classification using boundary-preserving region division and region-based affinity propagation clustering

This paper presents a new method for polarimetric synthetic aperture radar (PolSAR) image classification. Firstly, to get a reasonable edge strength map, polarimetric information is used in edge strength calculation, and watershed algorithm is used to obtain the oversegmentation using the edge strength. Secondly, a searching table is used to determine the most suitable region to be merged. Finally, region-based affinity propagation clustering is employed to achieve an initial classification map, and the method provides an adjacent Wishart classifier with spatial relations to obtain the final classification result.