Unsupervised Classification of Polarimetirc SAR Image Via Improved Manifold Regularized Low-Rank Representation With Multiple Features.

In this paper, a novel polarimetric synthetic aperture radar (PolSAR) image unsupervised classification method is proposed. It combines three typical features, including polarimetric data features (coherent matrix), polarimetric decomposition features (Krogager, Freeman, Yamaguqi, Neuman, and H/A/α decomposition), and gray-level co-occurrence matrix features to comprehensively describe the data ch...