I. Introduction
Polarimetric Synthetic Aperture Radar (PolSAR) is an active microwave imaging sensor capable of operating at day or night, and in all weather conditions. It acquires multidimensional measurements for continuous earth surface monitoring by transmitting microwave pulses with two different orthogonal polarization. Compared to traditional SAR, the PolSAR system can extract more extensive polarimetric information, encompassing horizontal polarization (H), vertical polarization (V), and oblique polarization (±45°). A wealth of multi-polarization data enhances the comprehensiveness of information sources for image interpretation. With these advantages, PolSAR images have found widespread applications in ground object classification [1], target recognition [2], change detection, and other fields. PolSAR image classification, which means to assign the certain class label to each pixel, is one of the most primary and essential task for further image interpretation. To exploit the benefits of PolSAR images effectively, researchers have devised numerous methods for PolSAR image classification.